CN111372007A - Ambient illumination detection method, device and electronic device - Google Patents

Abstract

Embodiments of the present application provide a method, device, and electronic device for detecting ambient illuminance. In the above-mentioned method for detecting ambient illuminance, a current image to be photographed, target exposure time, and target sensitivity are obtained; Detect the image and obtain the pixel statistical value corresponding to each target color, wherein the target color set includes multiple target colors; obtain each target color according to the pixel statistical value, target exposure time and target sensitivity of each target color. The pixel uniform value of the color; the corresponding target calculation formula is obtained according to the ratio of the pixel uniform value of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, thereby providing a more convenient detection of ambient illuminance In this way, the ambient illuminance can be detected by the camera, which saves the production cost of the enterprise, and can avoid the consistency difference caused by the physical ambient light sensor in the ambient light detection.

Description

Ambient illumination detection method, device and electronic device

technical field

The present application relates to the technical field of intelligent terminals, and in particular, to a method, device and electronic device for detecting ambient illuminance.

Background technique

With the continuous development of smart terminal technology, the functions of cameras on smart terminals are becoming more and more powerful. At present, the cameras of basically all smart terminals usually use methods such as flat brightness, ambient brightness, distance detection, face recognition, pupil recognition, etc. to detect ambient illuminance. The above methods are usually completed by using physical devices such as ambient light sensors. Ambient light detection.

The hardware architecture of smart terminals is relatively compact. Due to the introduction of physical devices such as ambient light sensors, the architectural space of smart terminals will be occupied, and the production cost of enterprises will be increased; When detecting the illuminance of the current environment, there is a uniform light ink on the optical path of the ambient light sensor. The difference in visible light/infrared transmittance of the uniform light ink will bring consistency differences in the ambient light detection of the same smart terminal. To sum up, the above problems are all problems that need to be solved urgently in the production process of the intelligent terminal.

SUMMARY OF THE INVENTION

The present application provides a method, device and electronic device for detecting ambient illuminance, and the present application also provides a computer-readable storage medium to provide a method for detecting ambient illuminance, replacing physical devices such as ambient light sensors by software, It can save the architecture space of the terminal, simplify the architecture design of the terminal, save the production cost of the enterprise, and avoid the consistency difference of ambient light detection.

In a first aspect, the present application provides a method for detecting ambient illuminance, including:

Obtain the current image to be photographed, the target exposure time, and the target sensitivity; wherein, the target color set includes a variety of target colors; Green (G, Green) is blue (B, Blue); it can also be three target colors of RYB, namely red (R, Red), yellow (Y, Yellow) or blue (B, Blue);

The current image to be photographed is detected according to the target color set, and the pixel statistics value corresponding to each target color is obtained; Semiconductor (CMOS, Complementary Metal Oxide Semiconductor) image sensor detection and acquisition.

The pixel uniform value of each target color is obtained according to the pixel statistical value, target exposure time and target sensitivity of each target color; specifically, according to the pixel statistical value of each target color and the current target exposure time and target sensitivity in turn Calculation is performed to obtain the pixel uniform value of each target color; wherein, the target exposure time and the target sensitivity remain unchanged when calculating for any current target color;

The corresponding target calculation formula is obtained according to the ratio of the pixel uniformity values of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, wherein the target calculation formula is used according to the current pixel uniformity of the two target colors. The value calculates the ambient lighting.

After obtaining the uniform pixel values of all target colors in the target color set, you can arbitrarily select the uniform pixel values of two target colors, then calculate the ratio of the uniform pixel values of the two target colors, and query the corresponding target according to the ratio. Calculation formula, the current ambient illuminance can be calculated through the target calculation formula; taking the three target colors of RGB as an example, when the uniform pixel value of RGB is obtained, the uniform pixel value of the two colors of RG can be selected, and then the ratio of R and G can be calculated. The ratio of the pixel uniform value between the two, thereby obtaining the corresponding target calculation formula, and obtains the current ambient illuminance according to the target calculation formula.

In the above-mentioned detection method of ambient illuminance, the current image to be photographed is detected according to the target color set to obtain the pixel statistical value corresponding to each target color, and the pixel statistical value of each target color is determined according to the target exposure time and eye sensitivity. Carry out further calculation to obtain the pixel uniform value of each target color, and finally select the pixel uniform value of any two target colors, and calculate the ratio of the pixel uniform value of the two target colors, and obtain the corresponding target calculation formula according to the ratio. The target calculation formula obtains the current ambient illuminance, thereby providing a detection method of ambient illuminance, which can save the architectural space of the terminal, simplify the architectural design of the terminal, save the production cost of the enterprise, and avoid the consistency difference of ambient light detection.

In one possible implementation manner, the detection of the currently-to-be-photographed image according to the target color set, and obtaining the pixel statistical value corresponding to each target color includes:

Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively;

dividing the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight;

In each target area, the original pixel values of all pixel points of each target color are counted, and the pixel cumulative value of each target color in the target area to which it belongs is obtained;

The cumulative value of pixels of each target color in all target areas is weighted and counted according to the target weight of each target area, and the pixel statistics value of each target color is obtained.

First, detect each pixel in the current image to be photographed, obtain the target color and original pixel value corresponding to each pixel, then divide the current image to be photographed into multiple target areas, and assign each target area a The target weight, then classify the pixels in each target area according to the target color, and accumulate the original pixel values of the pixels belonging to the same target color, thereby obtaining the pixel cumulative value of each target color, and finally , perform weighted statistics on all accumulated values of each target color to obtain the pixel statistics of each target color.

In one possible implementation manner, the detection of the currently-to-be-photographed image according to the target color set, and obtaining the pixel statistical value corresponding to each target color includes:

Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value.

Perform white balance on the current image to be photographed to obtain the gain value of each target color. The gain value of each target color can be set as the current pixel statistical value of each target color.

In one possible implementation manner, the detection of the current image to be photographed according to the target color set, and obtaining the original pixel values of all pixels corresponding to each target color respectively includes:

Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels.

First, match each pixel in the to-be-photographed image with each target color in the target color set, thereby obtaining the target color corresponding to each pixel, and then perform the current acquisition of the electrical analog signal of each pixel to Analog-to-digital conversion to obtain the original pixel value corresponding to each pixel point.

In one of the possible implementations, obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors includes:

Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula.

The pixel uniform value of two target colors is arbitrarily selected from the pixel uniform values of all the current target colors, and the ratio of the pixel uniform values of the two target colors is calculated, and the ratio is compared with the target threshold value to obtain the comparison result. The current two target colors are queried in the database to obtain the corresponding target calculation formula, wherein the database can store the comparison result and the mapping relationship between the combination of the target color and the target calculation formula.

In one of the possible implementations, the ratio of the pixel uniform value of any two target colors is compared with the target threshold to obtain the comparison result, and the corresponding target calculation formula obtained according to the target mapping relationship includes:

The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors;

If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship;

If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship;

If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship;

If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship.

Multiple target thresholds can be set first, and the ratio of the pixel uniform value of the two target colors is compared with each target threshold to obtain the comparison result, and the corresponding target calculation formula is obtained according to the different comparison results.

In a second aspect, the present application provides a device for detecting ambient illuminance, including:

Acquisition module: used to acquire the current image to be photographed, target exposure time and target sensitivity;

a first calculation module, configured to detect the current image to be photographed according to a target color set, and obtain a pixel statistical value corresponding to each target color, wherein the target color set includes multiple target colors;

The second calculation module is used to obtain the pixel uniform value of each target color according to the pixel statistical value, target exposure time and target sensitivity of each target color;

The detection module is used to obtain the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors, and detect the current ambient illuminance according to the target calculation formula, wherein the target calculation formula is used according to the current two Ambient illumination is calculated from the pixel-average value of the target color.

In one possible implementation manner, the first computing module further includes:

a calculation submodule for detecting the current image to be photographed according to the target color set, and obtaining the original pixel values of all pixels corresponding to each target color;

an area division sub-module, configured to divide the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight;

The first statistical submodule is used to perform statistics on the original pixel values of all pixel points of each target color in each target area, and obtain the pixel cumulative value of each target color in the target area to which it belongs;

The second statistical sub-module is used to perform weighted statistics on the accumulated pixel values of each target color in all target areas according to the target weight of each target area, and obtain the pixel statistical value of each target color.

In one possible implementation manner, the first calculation module is further configured to perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a gain value according to the gain value. Pixel statistics corresponding to each target color.

In one possible implementation manner, the computing submodule includes:

a matching unit for matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The calculation unit is used for detecting the electrical analog signals of all the pixels, and performing analog-to-digital conversion on the electrical analog signals of all the pixels to obtain the original pixel values of all the pixels.

In one possible implementation manner, the detection module further includes:

The comparison sub-module is used to compare the ratio of the pixel uniform value of any two target colors with the target threshold to obtain the comparison result;

The obtaining sub-module is configured to obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to represent the mapping relationship between the combination of the comparison result and the target color and the target calculation formula.

In one possible implementation manner, the comparison sub-module is further configured to compare the ratio of the pixel uniform values of any two target colors with the first target threshold, the second target threshold and the third target threshold, respectively, wherein, The first target threshold, the second target threshold and the third target threshold correspond to the current combination of the two target colors;

Then the acquisition sub-module includes:

a first obtaining unit, configured to obtain a corresponding first target calculation formula according to a target mapping relationship if the ratio is less than the first target threshold;

a second obtaining unit, configured to obtain a corresponding second target calculation formula according to the target mapping relationship if the ratio is not less than the first target threshold and not greater than the second target threshold;

a third obtaining unit, configured to obtain a corresponding third target calculation formula according to the target mapping relationship if the ratio is greater than the second target threshold and not greater than the third target threshold;

A fourth obtaining unit, configured to obtain a corresponding fourth target calculation formula according to the target mapping relationship if the ratio is greater than the third target threshold.

In a third aspect, the application provides an electronic device, comprising:

one or more processors; a memory; a plurality of application programs; and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions, When the instructions are executed by the device, the device is caused to perform the following steps:

Obtain the current image to be photographed, target exposure time and target sensitivity;

Detecting the currently-to-be-photographed image according to a target color set, to obtain a pixel statistic value corresponding to each target color, wherein the target color set includes multiple target colors;

Obtain the pixel uniform value of each target color according to the pixel statistics value, target exposure time and target sensitivity of each target color;

The corresponding target calculation formula is obtained according to the ratio of the pixel uniformity values of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, wherein the target calculation formula is used according to the current pixel uniformity of the two target colors. The value calculates the ambient lighting.

In one possible implementation manner, when the instruction is executed by the device, the device executes the detection of the current image to be photographed according to the target color set, and obtains the statistical value of the pixel corresponding to each target color. Steps include:

Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively;

dividing the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight;

In each target area, the original pixel values of all pixel points of each target color are counted, and the pixel cumulative value of each target color in the target area to which it belongs is obtained;

The cumulative value of pixels of each target color in all target areas is weighted and counted according to the target weight of each target area, and the pixel statistics value of each target color is obtained.

In one possible implementation manner, when the instruction is executed by the device, the device executes the detection of the current image to be photographed according to the target color set, and obtains the statistical value of the pixel corresponding to each target color. Steps include:

Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value.

In one possible implementation manner, when the instruction is executed by the device, the device executes the detection of the current image to be photographed according to the target color set, and obtains all pixels corresponding to each target color respectively. The steps of raw pixel values include:

Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels.

In one of the possible implementations, when the instruction is executed by the device, causing the device to perform the step of obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors includes:

Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula.

In one possible implementation manner, when the instruction is executed by the device, the device is made to compare the ratio of the pixel uniform value of any two target colors with the target threshold to obtain the comparison result, according to the target mapping relationship The steps of obtaining the corresponding target calculation formula include:

The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors;

If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship;

If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship;

If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship;

If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship.

It should be understood that the second to third aspects of the present application are consistent with the technical solutions of the first aspect of the present application, and the beneficial effects obtained by each aspect and the corresponding feasible implementation manner are similar, and will not be repeated.

In a fourth aspect, the present application provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, which, when executed on a computer, causes the computer to execute the method according to the first aspect.

In a fifth aspect, the present application provides a computer program for executing the method of the first aspect when the computer program is executed by a computer.

In a possible design, the program in the fifth aspect may be stored in whole or in part on a storage medium packaged with the processor, and may also be stored in part or in part in a memory not packaged with the processor.

Description of drawings

1 is a flowchart of an embodiment of a method for detecting ambient illuminance of the present application;

2 is a flowchart of another embodiment of a method for detecting ambient illuminance of the present application;

3 is a schematic structural diagram of an embodiment of an apparatus for detecting ambient illuminance of the present application;

4 is a schematic structural diagram of another embodiment of an apparatus for detecting ambient illuminance of the present application;

5 is a schematic structural diagram of yet another embodiment of an apparatus for detecting ambient illuminance of the present application;

6 is a schematic structural diagram of yet another embodiment of an apparatus for detecting ambient illuminance of the present application;

FIG. 7 is a schematic structural diagram of still another embodiment of an apparatus for detecting ambient illuminance of the present application;

FIG. 8 is a schematic structural diagram of an embodiment of an electronic device of the present application.

Detailed ways

The terms used in the embodiments of the present application are only used to explain specific embodiments of the present application, and are not intended to limit the present application.

In the existing implementation solutions, the current ambient light intensity detection is completed through physical devices such as ambient light sensors.

In this implementation solution, the architectural space of the mobile terminal is occupied, which increases the production cost of the enterprise, and the detection of the ambient illuminance through the ambient light sensor will bring about consistency differences.

To this end, the present application proposes an ambient light detection method, which can save the architectural space of the terminal, simplify the architectural design of the terminal, save the production cost of the enterprise, and avoid the consistency difference of ambient light detection.

FIG. 1 is a flowchart of an embodiment of a method for detecting ambient illuminance of the present application. As shown in FIG. 1 , the above-mentioned method for detecting ambient illuminance may include:

Step 101: Obtain the current image to be photographed, the target exposure time and the target sensitivity.

Specifically, the above-mentioned current image to be photographed may be a current original image captured by a CMOS image sensor.

The above target exposure time and target sensitivity can be obtained by calculating the current lens parameters. In the specific implementation, the current aperture value can be obtained first. The aperture value corresponds to the lens currently used by the terminal, and the user can adjust the current lens to correspond. Adjust the aperture value. After the aperture value is determined, it can be calculated according to the calculation formula A+B=C+D to obtain the current brightness value; where A represents the current aperture value, B represents the exposure time value, C represents the sensitivity value, D represents the brightness value, exposure time and sensitivity are a pair of related values, that is, they appear in combination, and are stored in the target database in table form in advance, as shown in Table 1, and each pair of values in Table 1 is substituted into the above Calculate the formula to obtain the current brightness value, and compare the current brightness value with the target brightness value. If the current brightness value matches the target brightness value, the current exposure time and sensitivity combination is the target exposure time and target. Sensitivity, and cached for subsequent calculations.

Table 1

serial number Exposure Time and Sensitivity Combinations Numerical value 1 Exposure time + ISO value 100ms+ISO1.0 2 Exposure time + ISO value 100ms+ISO1.1 3 Exposure time + ISO value 100ms+ISO1.2 4 Exposure time + ISO value 100ms+ISO1.3 5 Exposure time + ISO value 100ms+ISO1.4 6 Exposure time + ISO value 200ms+ISO1.5

Further, in order to facilitate the operation, the unit conversion of the sensitivity value can also be performed. In the specific implementation, the sensitivity value can be divided by a general value. For example, it is assumed that three sets of sensitivity data are collected, which are ISO_1 and ISO_2 respectively. and ISO_3, if the current ISO minimum unit is 100, you can divide ISO_1, ISO_2 and ISO_3 by 100 to obtain ISO_1/100, ISO_2/100 and ISO_3/100.

Step 102: Detect the current image to be photographed according to a target color set, and obtain a pixel statistical value corresponding to each target color, wherein the target color set includes multiple target colors.

Specifically, the target color set is related to the filters currently applied by the CMOS image sensor in step 101. For example, if the currently applied RGB red, green, and blue filters are used, the target color set is R, G, and B.

After the target color set is determined, the current image to be photographed can be detected according to the target color set, wherein the detection process includes detecting each target color in the target color set respectively, thereby obtaining the pixel value corresponding to each target color. sum.

In specific implementation, each target color can be detected separately. For example, red is detected first, and the sum of the pixel values of all red pixels in the to-be-photographed image is counted, and then green is detected. The sum of the pixel values of all green pixels in the to-be-photographed image is obtained, and finally the blue is detected, and the sum of the pixel values of all the blue pixels in the to-be-photographed image can also be counted.

It should be understood that, when detecting each target color in the target color set, there is no order, that is, each target color in the current target color set can be detected in any order, which is not limited in this embodiment.

Step 103: Obtain a pixel uniform value of each target color according to the pixel statistics value, target exposure time and target sensitivity of each target color.

Specifically, after obtaining the pixel statistical value of each target color, the pixel statistical value and the target exposure time and target sensitivity obtained in step 101 can be calculated according to the formula S=X/(Y×Z), thereby obtaining The pixel uniform value, where S represents the pixel uniform value, X represents the pixel statistical value, Y represents the target exposure time value, and Z represents the target sensitivity value; the calculation process is carried out according to each target color. Time and target sensitivity are invariable to any current target color during calculation, so the pixel statistics value of each target color can be substituted into the above formula in turn to obtain the pixel uniform value of each target color. Taking RGB red, green and blue as an example, you can first substitute the statistical value of red pixels into the above formula to obtain the uniform value of red pixels, then substitute the statistical value of green pixels into the above formula to obtain the uniform value of green pixels, and finally add the statistical value of blue pixels. Substitute into the above formula to obtain the uniform value of blue pixels.

It should be understood that when calculating the pixel uniform value of each target color, the order is not determined, that is, each target color in the current target color set can be substituted into the above formula for calculation in any order. Not limited.

Step 104: Obtain a corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors, and detect the current ambient illuminance according to the target calculation formula, wherein the target calculation formula is used according to the current two target colors. The pixel-averaged value of the ambient light is calculated.

Specifically, two target colors can be arbitrarily selected from the pixel uniform values of all the current target colors, and then the ratio of the current pixel uniform values of the two target colors is calculated. You can select the pixel uniform value of red and green, and calculate the ratio of the two, or you can select the pixel uniform value of red and blue, and calculate the ratio of the two, or you can select the pixel uniform value of blue and green, and calculate The ratio of the two; when the ratio of the pixel uniform value of the two target colors is obtained, the corresponding target calculation formula can be obtained according to the ratio, and then the current ambient illuminance can be detected according to the target calculation formula; The mapping relationship between the preset ratio and the target calculation formula, when the specific ratio is obtained, the corresponding target calculation formula can be obtained by query, and then the corresponding ambient illuminance can be calculated according to the target calculation formula.

Among them, the target calculation formula includes the pixel uniform value of the two target colors. The target calculation formula can be stored in the database in advance, and the target calculation formula can be obtained by simulating the calculation of the simulated light in advance. In the specific implementation, the target can be obtained under the same or similar illuminance conditions and with the unit illuminance corresponding to different light source types. The pixel uniform value of the color is used to draw a scatter diagram. The light source types can include analog H light, analog A light, analog C light, and analog D. The simulated A light can be simulated sunlight, the simulated C light can be simulated light, and the simulated A light can be simulated light. The light can be the light emitted by the simulated thermal light source, and the simulated H light can be the light emitted by the simulated other light sources. The generation of the light source can be generated by standard light source equipment such as AEBOX, integrating sphere system, light box, etc. The expression of the connection between the scatter points corresponding to the A light, the simulated C light and the simulated D light. The physical meaning of the expression of the connection line is the pixel uniform value of the target color when the unit illuminance corresponding to the mixed light source is used. Taking RGB, red, green and blue as an example, when the scatter diagram is drawn with the uniform pixel value of red and green , the uniform values of red and green pixels are Rave and Gave, respectively, then the uniform values of red and green pixels per unit illuminance are Rave/Lux and Gave/Lux, where Lux is the ambient illuminance, then the connection between the two standard light sources The expression of the line can be expressed by Gave/Lux=j×Rave/Lux-k, where j and k are constant coefficients. Assuming that there is an unknown light source that is formed by mixing the above two standard light sources, then under the condition of the unknown light source, the CMOS The uniform value of the red and blue pixels of the original image captured by the image sensor also satisfies the expression Gave/Lux=j×Rave/Lux-k; when the connection expression between multiple standard light sources is obtained, the unit is respectively The conversion formula of ambient illuminance for different light source types can be obtained by conversion. For example, when the scatter diagram is drawn with the uniform value of red and green pixels, the illuminance conversion formula is Lux=m×Gave-n×Rave, where m and n are Constant coefficient; when the scatter diagram is drawn with the uniform value of red and blue pixels, the illuminance conversion formula is Lux=m×Bave-n×Rave.

In this embodiment, the current image to be photographed is detected according to the target color set to obtain the pixel statistic value corresponding to each target color, and the pixel statistic value of each target color is further calculated according to the target exposure time and eye sensitivity , obtain the pixel uniform value of each target color, and finally select the pixel uniform value of any two target colors, and calculate the ratio of the pixel uniform value of the two target colors, obtain the corresponding target calculation formula according to the ratio, and according to the target calculation formula The current ambient illuminance is obtained, thereby providing a detection method of ambient illuminance, which can save the architectural space of the terminal, simplify the architectural design of the terminal, save the production cost of the enterprise, and avoid the consistency difference of ambient light detection.

FIG. 2 is a flowchart of another embodiment of the method for detecting ambient illuminance of the present application. As shown in FIG. 2 , in the embodiment shown in FIG. 1 of the present application, step 102 may include:

Step 201: Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color.

Specifically, firstly, the original pixel values of all pixels in the current image to be photographed can be obtained by calculating according to the CMOS image sensor, and then the target color of each pixel can be obtained according to the filter in the CMOS image sensor. The target color corresponds to any target color in the target color set.

Step 202: Divide the current image to be photographed into a plurality of target areas, wherein each target area includes a corresponding target weight.

In specific implementation, the current image to be photographed can be divided into multiple areas of equal size. For example, the current image to be photographed can be divided into 120×90 areas, that is, 120 areas in each horizontal row and 90 areas in each vertical column. A total of 10,800 areas are totaled, and then weights are assigned to these 10,800 areas. The weight is a preset constant coefficient, and each area can be the same or different.

Step 203: Count the original pixel values of all the pixel points of each target color in each target area, and obtain the pixel cumulative value of each target color in the target area to which it belongs.

Specifically, after the area is divided, the original pixel values of all the pixel points of each target color in each area can be counted, and the pixel cumulative value of each target color can be obtained respectively; Taking the blue three colors as an example, firstly, the original pixel values of all red pixels can be accumulated in an area to obtain the pixel accumulated value of the red pixels in the current area. Similarly, the green color can be counted to obtain the current area. The pixel cumulative value of the green pixel point, and finally the blue is counted to obtain the pixel cumulative value of the blue pixel point in the current area; when all the target colors in the current area are counted, the next area is counted, until all Regional statistics completed.

It should be understood that, when performing statistics on the original pixel values of the target colors in a certain area, the order of the target colors may be arbitrary, and the comparison in this embodiment is not limited.

Step 204: Perform weighted statistics on the cumulative pixel values of each target color in all target regions according to the target weight of each target region, and obtain the pixel statistics value of each target color.

Specifically, after obtaining the pixel cumulative value of each target color in each target area, the pixel cumulative value of each target color in all target areas can be weighted and counted according to the target weight of each target area. This gets pixel statistics for each target color. In the specific implementation, taking RGB, red, green and blue as an example, it is assumed that the cumulative values of R (red) pixels in n regions are R1, R2...Rn, respectively, and the weights corresponding to each region are P1, P2. ...... Gn, then the green pixel statistic value G=G1×P1+G2×P2+...+Gn×Pn, if the B (blue) pixel accumulated values of n areas are B1, B2...Bn, then the green The pixel statistics of B=B1×P1+B2×P2+...+Bn×Pn.

In this embodiment, the image to be photographed is divided into regions, and weights are assigned, and the statistical value of the original pixels of each target color in the image to be photographed is obtained through weighted statistics, which can improve the extraction of pixel values of the image to be photographed, which is beneficial to the subsequent analysis. Calculation of ambient illuminance to improve the accuracy of ambient illuminance calculation.

Optionally, in some embodiments of the present application, step 102 may include:

Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value.

Specifically, it is also possible to replace the pixel statistics value by calculating the gain value of the current image to be shot. During the calculation process of the gain value, the gain value of each target color is also obtained by calculating separately, and the gain value is obtained after the white balance. , since the gain value of the target color during white balance is a value that can represent the pixel statistical value of the target color in the original image, the gain value can be replaced by the pixel statistical value.

Optionally, in some embodiments of the present application, step 201 may include:

Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels.

Specifically, a CMOS image sensor uses a photosensitive element as the basic means of image capture. Its core is a photodiode, which can generate an output current after receiving light, and the magnitude of the current is related to the intensity of the light. correspond. The above-mentioned photosensitive diode is a photosensitive element, and each photosensitive element corresponds to a pixel in the image sensor; in the specific implementation, since the photosensitive element can only sense the intensity of light and cannot capture color information, it must be covered above the photosensitive element. Color filter; because the human eye is more sensitive to green, it usually covers RGB red, green and blue three-color filters, in which the color pixels can be formed in a ratio of 1:2:1, for example, the red and blue filters are respectively One pixel is covered, and the remaining two pixels are covered by the green filter. The target color of each pixel in the current image to be photographed can be obtained through the filter, that is, after being covered by the RGB filter, each pixel obtains the corresponding R (red), G (green) or B (blue) target color.

It should be understood that this embodiment is also applicable to CMOS image sensors with other pixel arrangement forms, for example, a CMOS image sensor composed of a ratio of red, yellow and blue at 1:2:1, which is not limited in this embodiment; The target color of each pixel corresponds to the current filter. For example, if a red, yellow and blue filter is used, each pixel obtains a target corresponding to R (red), Y (yellow) or B (blue). color,.

Among them, when the pixel receives light, the photosensitive element generates a corresponding current, and the magnitude of the current corresponds to the light intensity, so the electrical signal directly output by the photosensitive element is an analog quantity, which is analog-to-digital (AD, Analogue-to-Digital) After conversion, the original digital quantity is sent to the Image Signal Processor (ISP, Image Signal Processor) for processing; in the specific implementation, there may be differences in the number of original digital quantities collected by sensors of different manufacturers. For example, RAW10 indicates that the sensor has The maximum raw digital quantity of a pixel is 1024, and RAW8 means that the raw digital quantity of a pixel on the sensor is at most 256. The raw digital quantity of any color pixel can be used to represent the lightness and darkness of the color. Gray The higher the degree value, the brighter the color.

It should be understood that the step of color matching can be performed before the analog-to-digital conversion of the electrical analog signal, the step of color matching can also be performed after the analog-to-digital conversion of the electrical analog signal, and the step of color matching can also be performed with the analog-to-digital conversion of the electrical analog signal. The digital conversion is performed at the same time, that is to say, the step of color matching does not conflict with the acquisition of the original pixel value, so it can be performed in any order, which is not limited in this embodiment.

In this embodiment, the CMOS image sensor detects the electrical analog signal in the to-be-photographed image, and performs analog-to-digital conversion to obtain the corresponding original pixel value, which can improve the detection efficiency of the pixel value.

Optionally, in some embodiments of the present application, in step 104, the obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors may include:

Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula.

Specifically, after obtaining the ratio of the pixel uniform values of any two target colors, the ratio can be compared with a preset threshold to obtain a comparison result. The comparison result includes conditions such as greater than, less than, and equal to, and different comparison results There are also various combinations of target calculation formulas for the combination of two target colors. For example, taking RGB, red, green and blue as an example, the combination and comparison result of R (red) color and G (green) color corresponds to a target calculation formula. Combination, the combination of R (red) and B (blue) colors and the comparison result corresponds to the combination of another target calculation formula, and the combination of G (green) and B (blue) colors and the comparison result corresponds to another target calculation formula Therefore, the mapping relationship between the combination of the comparison result and the target color and the target calculation formula can be pre-stored. When the current comparison result is obtained, the corresponding query can be obtained through the current comparison result and the current target color combination. target calculation formula.

Optionally, in some embodiments of the present application, the ratio of the pixel uniform value of any two target colors is compared with the target threshold to obtain the comparison result, and obtaining the corresponding target calculation formula according to the target mapping relationship may include:

The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors;

If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship;

If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship;

If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship;

If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship.

Specifically, after obtaining the ratio of the pixel uniform values of the current two target colors, the ratio can be compared with the first target threshold, the second target threshold and the third target threshold respectively, wherein the target threshold and the target calculation formula The coefficients in the correlation are further explained in conjunction with Table 2. As shown in Table 2, it is the target calculation formula mapping table of RGB red, green and blue, wherein, the ratio Q is the ratio of the uniform value of any two target color pixels, and Ma, Mc, Md, Mh, Na, Nc, Nd and Nh are constant coefficients, (Mc-Md)/(Nc-Nd) is the first target threshold, (Ma-Mc)/(Na-Nc) is the second target threshold , (Mh-Ma)/(Nh-Na) is the third target threshold; in the RG color combination, if Q<(Mc-Md)/(Nc-Nd), the corresponding first target calculation formula is Lux= Md×Gave-Nd×Rave, if (Mc-Md)/(Nc-Nd)=<Q<=(Ma-Mc)/(Na-Nc), then the corresponding second target calculation formula is Lux=Mc× Gave-Nc×Rave, if (Ma-Mc)/(Na-Nc)<Q<=(Mh-Ma)/(Nh-Na), then the corresponding third target calculation formula is Lux=Ma×Gave-Na ×Rave, if Q>(Mh-Ma)/(Nh-Na), the corresponding fourth target calculation formula is Lux=Mh×Gave-Nh×Rave; Similarly, in GB color combination and RB color combination, According to the interval of Q within the target threshold, the corresponding target calculation formula can be determined; since in the RG color combination, the target calculation formula obtained according to the RG color combination has the highest accuracy of the ambient illuminance, so it is recommended to use the RG color combination. The embodiment does not limit this.

Table 2

In this embodiment, by associating the ratio of the uniform pixel values of the two target colors and the combination of the current target color with the target calculation formula, and then querying according to the current comparison result to obtain the corresponding target calculation formula, the efficiency of the target calculation formula can be effectively improved. The query efficiency also improves the calculation efficiency of ambient illumination.

It can be understood that, some or all of the steps or operations in the foregoing embodiments are merely examples, and other operations or variations of various operations may also be performed in the embodiments of the present application. Furthermore, the various steps may be performed in a different order presented in the above-described embodiments, and may not perform all operations in the above-described embodiments.

FIG. 3 is a schematic structural diagram of an embodiment of an apparatus for detecting ambient illuminance of the present application. As shown in FIG. 3 , the apparatus 30 for detecting ambient illuminance may include: an acquisition module 31 , a first calculation module 32 , a second calculation module 33 and a detection module 30 . module 34.

Wherein, the acquisition module 31 is used to acquire the current image to be photographed, the target exposure time and the target sensitivity;

The first calculation module 32 is configured to detect the current image to be photographed according to a target color set, and obtain a pixel statistical value corresponding to each target color, wherein the target color set includes multiple target colors;

The second calculation module 33 is used to obtain the pixel uniform value of each target color according to the pixel statistical value, target exposure time and target sensitivity of each target color;

The detection module 34 is used to obtain the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors, and detect the current ambient illuminance according to the target calculation formula, wherein the target calculation formula is used according to the current two. Ambient illumination is calculated based on the pixel uniform value of each target color.

The apparatus for detecting ambient illuminance provided by the embodiment shown in FIG. 3 can be used to implement the technical solution of the method embodiment shown in FIG. 1 of the present application, and the implementation principle and technical effect may further refer to the relevant description in the method embodiment.

FIG. 4 is a schematic structural diagram of another embodiment of the apparatus for detecting ambient illuminance of the present application. Compared with the apparatus for detecting ambient illuminance 30 shown in FIG. 3 , the difference is that in the apparatus 40 for detecting ambient illuminance shown in FIG. 4 , the first calculation module 32 may include: a calculation sub-module 321, an area division sub-module 322, a first statistics sub-module 323 and a second statistics sub-module 324;

Wherein, the calculation sub-module 321 is used to detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively;

an area division sub-module 322, configured to divide the current to-be-photographed image into multiple target areas, wherein each target area contains a corresponding target weight;

The first statistical sub-module 323 is used to perform statistics on the original pixel values of all pixel points of each target color in each target area, and obtain the pixel cumulative value of each target color in the target area to which it belongs;

The second statistics sub-module 324 is configured to perform weighted statistics on the cumulative pixel values of each target color in all target regions according to the target weight of each target region, and obtain the pixel statistics value of each target color.

The apparatus 40 for detecting ambient illuminance provided by the embodiment shown in FIG. 4 can be used to implement the technical solution of the method embodiment shown in FIG. 2 of the present application, and the implementation principle and technical effect may further refer to the relevant description in the method embodiment.

In one possible implementation manner, the above-mentioned first calculation module 32 may also be configured to perform white balance on the current image to be photographed according to the target color set, and obtain a gain value corresponding to each target color, according to the gain value Obtain pixel statistics corresponding to each target color.

FIG. 5 is a schematic structural diagram of another embodiment of the apparatus for detecting ambient illuminance of the present application. Compared with the apparatus for detecting ambient illuminance 40 shown in FIG. 4 , the difference is that in the apparatus 50 for detecting ambient illuminance shown in FIG. 5 , the calculation sub-module 321 may include: a matching unit 3211 and a calculation unit 3212;

Wherein, the matching unit 3211 is used to match each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The calculation unit 3212 is configured to detect the electrical analog signals of all the pixels, perform analog-to-digital conversion on the electrical analog signals of all the pixels, and obtain the original pixel values of all the pixels.

FIG. 6 is a schematic structural diagram of another embodiment of the apparatus for detecting ambient illuminance of the present application. Compared with the apparatus for detecting ambient illuminance 30 shown in FIG. 3 , the difference is that in the apparatus 60 for detecting ambient illuminance shown in FIG. 6 , the detection module 34 may include: a comparison sub-module 341 and an acquisition sub-module 342;

Wherein, the comparison sub-module 341 is used to compare the ratio of the pixel uniform value of any two target colors with the target threshold to obtain the comparison result;

The obtaining sub-module 342 is configured to obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to represent the mapping relationship between the combination of the comparison result and the target color and the target calculation formula.

FIG. 7 is a schematic structural diagram of still another embodiment of the apparatus for detecting ambient illuminance of the present application. Compared with the apparatus for detecting ambient illuminance 60 shown in FIG. 6 , the difference is that in the apparatus 70 for detecting ambient illuminance shown in FIG. 7 , the comparison sub-module 341 is further configured to compare the ratio of the pixel uniform values of any two target colors with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the The second target threshold and the third target threshold correspond to the current combination of the two target colors;

Then the obtaining sub-module 342 may include: a first obtaining unit 3421, a second obtaining unit 3422, a third obtaining unit 3423 and a fourth obtaining unit 3424;

Wherein, the first obtaining unit 3421 is configured to obtain the corresponding first target calculation formula according to the target mapping relationship if the ratio is less than the first target threshold;

A second obtaining unit 3422, configured to obtain a corresponding second target calculation formula according to the target mapping relationship if the ratio is not less than the first target threshold and not greater than the second target threshold;

A third obtaining unit 3423, configured to obtain a corresponding third target calculation formula according to the target mapping relationship if the ratio is greater than the second target threshold and not greater than the third target threshold;

The fourth obtaining unit 3424 is configured to obtain a corresponding fourth target calculation formula according to the target mapping relationship if the ratio is greater than the third target threshold.

It should be understood that the division of each module of the apparatus for detecting ambient illuminance shown in Figures 3 to 7 is only a division of logical functions, and can be fully or partially integrated into one physical entity or physically separated in actual implementation. And these modules can all be implemented in the form of software calling through processing elements; they can also all be implemented in hardware; some modules can also be implemented in the form of software calling through processing elements, and some modules can be implemented in hardware. For example, the detection module may be a separately established processing element, or may be integrated in a certain chip of the electronic device. The implementation of other modules is similar. In addition, all or part of these modules can be integrated together, and can also be implemented independently. In the implementation process, each step of the above-mentioned method or each of the above-mentioned modules can be completed by an integrated logic circuit of hardware in the processor element or an instruction in the form of software.

For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more specific integrated circuits (Application Specific Integrated Circuit; hereinafter referred to as: ASIC), or, one or more microprocessors A digital processor (Digital Singnal Processor; hereinafter referred to as: DSP), or, one or more Field Programmable Gate Arrays (Field Programmable Gate Array; hereinafter referred to as: FPGA), etc. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (System-On-a-Chip; hereinafter referred to as: SOC).

FIG. 8 is a schematic structural diagram of an embodiment of an electronic device of the present application. As shown in FIG. 8 , the electronic device may include: one or more processors; a memory; multiple application programs; and one or more computer programs.

Wherein, the above-mentioned electronic devices may be mobile terminals (mobile phones), smart screens, drones, intelligent connected vehicles (Intelligent Connected Vehicles; hereinafter referred to as: ICVs), smart (car) vehicles (smart/intelligentcar) or in-vehicle equipment and other equipment .

Wherein the above-mentioned one or more computer programs are stored in the above-mentioned memory, and the above-mentioned one or more computer programs include instructions that, when the above-mentioned instructions are executed by the above-mentioned equipment, cause the above-mentioned equipment to perform the following steps:

Obtain the current image to be photographed, target exposure time and target sensitivity;

Detecting the currently-to-be-photographed image according to a target color set, to obtain a pixel statistic value corresponding to each target color, wherein the target color set includes multiple target colors;

Obtain the pixel uniform value of each target color according to the pixel statistics value, target exposure time and target sensitivity of each target color;

The corresponding target calculation formula is obtained according to the ratio of the pixel uniformity values of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, wherein the target calculation formula is used according to the current pixel uniformity of the two target colors. The value calculates the ambient lighting.

In one of the possible implementation manners, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device executes the detection of the current image to be photographed according to the target color set, and the steps of obtaining the pixel statistical value corresponding to each target color include:

Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively;

dividing the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight;

In each target area, the original pixel values of all pixel points of each target color are counted, and the pixel cumulative value of each target color in the target area to which it belongs is obtained;

The cumulative value of pixels of each target color in all target areas is weighted and counted according to the target weight of each target area, and the pixel statistics value of each target color is obtained.

In one of the possible implementation manners, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device executes the detection of the current image to be photographed according to the target color set, and the steps of obtaining the pixel statistical value corresponding to each target color include:

Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value.

In one possible implementation manner, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device executes the detection of the current image to be photographed according to the target color set, and obtains the original pixels of all the pixels corresponding to each target color respectively. Value steps include:

Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel;

The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels.

In one of the possible implementations, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device performs the step of obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors:

Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula.

In one possible implementation manner, when the above-mentioned instruction is executed by the above-mentioned device, the above-mentioned device is made to compare the ratio of the pixel uniform value of any two target colors with the target threshold value, obtain the comparison result, and obtain the corresponding The steps in the target calculation formula include:

The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors;

If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship;

If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship;

If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship;

If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship.

The electronic device shown in FIG. 8 may be a terminal device or a circuit device built in the above-mentioned terminal device. The device may be used to execute the functions/steps in the methods provided by the embodiments shown in FIG. 1 to FIG. 2 of the present application.

As shown in FIG. 8 , the electronic device 800 includes a processor 810 , a memory 820 , a CMOS image sensor 830 and an ISP image signal processor 840 . The processor 810, the memory 820, the CMOS image sensor 830 and the ISP image signal processor 840 can communicate with each other through an internal connection path to transmit control and/or data signals. The memory 820 is used to store computer programs, and the processor 810 is used to call and run the computer program from the memory 820 .

The above-mentioned memory 820 may be a read-only memory (ROM, read-only memory), other types of static storage devices that can store static information and instructions, random access memory (RAM, random access memory), or other types of information and instructions. It can also be an electrically erasable programmable read-only memory (EEPROM, electrically erasable programmable read-only memory), a CD-ROM (compactdisc read-only memory), or other CD-ROM storage, CD-ROM storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and Any other medium that can be accessed by a computer, etc.

The above-mentioned processor 810 and the memory 820 can be combined into a processing device, and more commonly, they are independent components, and the processor 810 is used to execute the program codes stored in the memory 820 to realize the above-mentioned functions. During specific implementation, the memory 820 may also be integrated in the processor 810 , or be independent of the processor 810 .

It should be understood that the electronic device 800 shown in FIG. 8 can implement each process of the method provided by the embodiments shown in FIG. 1 to FIG. 2 of the present application. The operations and/or functions of each module in the electronic device 800 are respectively to implement the corresponding processes in the foregoing method embodiments. For details, reference may be made to the descriptions in the method embodiments shown in FIG. 1 to FIG. 2 of the present application. To avoid repetition, detailed descriptions are appropriately omitted here.

It should be understood that the processor 810 in the electronic device 800 shown in FIG. 8 may be a system-on-chip SOC, and the processor 810 may include a central processing unit (Central Processing Unit; hereinafter referred to as: CPU), and may further include other types of A processor, for example, a Graphics Processing Unit (Graphics Processing Unit; hereinafter referred to as: GPU) and the like.

In a word, each part of the processors or processing units inside the processor 810 can cooperate to implement the previous method process, and the corresponding software programs of each part of the processors or processing units can be stored in the memory 820 .

The present application also provides an electronic device, the device includes a storage medium and a central processing unit, the storage medium may be a non-volatile storage medium, and a computer-executable program is stored in the storage medium, and the central processing unit is connected to the central processing unit. The non-volatile storage medium is connected, and the computer-executable program is executed to implement the method provided by the embodiments shown in FIG. 1 to FIG. 2 of the present application.

In the above embodiments, the involved processors may include, for example, a CPU, a DSP, a microcontroller or a digital signal processor, and may also include a GPU, an embedded neural-network process unit (Neural-network Process Units; hereinafter referred to as: NPU) and Image Signal Processing (hereinafter referred to as: ISP), the processor may also include necessary hardware accelerators or logic processing hardware circuits, such as ASIC, or one or more integrated circuits for controlling the execution of the programs of the technical solution of the present application circuit, etc. Furthermore, the processor may have the function of operating one or more software programs, which may be stored in a storage medium.

Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when it runs on a computer, enables the computer to execute the program provided by the embodiments shown in FIG. 1 to FIG. 2 of the present application. method.

An embodiment of the present application further provides a computer program product, the computer program product includes a computer program, which, when running on a computer, enables the computer to execute the method provided by the embodiments shown in FIG. 1 to FIG. 2 of the present application.

In the embodiments of the present application, "at least one" refers to one or more, and "multiple" refers to two or more. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can indicate the existence of A alone, the existence of A and B at the same time, and the existence of B alone. where A and B can be singular or plural. The character "/" generally indicates that the associated objects are an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, where a, b, c may be single, or Can be multiple.

Those of ordinary skill in the art can realize that the units and algorithm steps described in the embodiments disclosed herein can be implemented by a combination of electronic hardware, computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided in this application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (Read-Only Memory; hereinafter referred to as: ROM), Random Access Memory (Random Access Memory; hereinafter referred to as: RAM), magnetic disk or optical disk, etc. A medium on which program code is stored.

The above are only specific embodiments of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application. The protection scope of the present application shall be subject to the protection scope of the claims.

Claims (19)

1. a detection method of ambient illuminance, is characterized in that, comprises: Obtain the current image to be photographed, target exposure time and target sensitivity; Detecting the currently-to-be-photographed image according to a target color set, to obtain a pixel statistic value corresponding to each target color, wherein the target color set includes multiple target colors; Obtain the pixel uniform value of each target color according to the pixel statistics value, target exposure time and target sensitivity of each target color; The corresponding target calculation formula is obtained according to the ratio of the pixel uniformity values of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, wherein the target calculation formula is used according to the current pixel uniformity of the two target colors. The value calculates the ambient lighting. 2. The method for detecting ambient illuminance according to claim 1, wherein the current image to be photographed is detected according to a target color set, and obtaining a pixel statistical value corresponding to each target color comprises: Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively; dividing the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight; In each target area, the original pixel values of all pixel points of each target color are counted, and the pixel cumulative value of each target color in the target area to which it belongs is obtained; The cumulative value of pixels of each target color in all target areas is weighted and counted according to the target weight of each target area, and the pixel statistics value of each target color is obtained. 3. The detection method of ambient illuminance according to claim 1, wherein the detection of the current image to be photographed according to a target color set, and obtaining the pixel statistical value corresponding to each target color comprises: Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value. 4. The method for detecting ambient illuminance according to claim 2, wherein the current image to be photographed is detected according to a target color set, and the original pixels of all pixels corresponding to each target color are obtained respectively Values include: Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel; The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels. 5. The detection method of ambient illuminance according to claim 1, wherein the obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors comprises: Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula. 6. The detection method of ambient illuminance according to claim 5, wherein the ratio of the pixel uniform value of any two target colors is compared with the target threshold, and the comparison result is obtained, and the corresponding target is obtained according to the target mapping relationship. The target calculation formula includes: The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors; If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship; If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship; If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship; If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship. 7. A detection device for ambient illuminance, comprising: Acquisition module: used to acquire the current image to be photographed, target exposure time and target sensitivity; a first calculation module, configured to detect the current image to be photographed according to a target color set, and obtain a pixel statistical value corresponding to each target color, wherein the target color set includes multiple target colors; The second calculation module is used to obtain the pixel uniform value of each target color according to the pixel statistical value, target exposure time and target sensitivity of each target color; The detection module is used to obtain the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors, and detect the current ambient illuminance according to the target calculation formula, wherein the target calculation formula is used according to the current two Ambient illumination is calculated from the pixel-average value of the target color. 8. The apparatus according to claim 7, wherein the first computing module further comprises: a calculation submodule for detecting the current image to be photographed according to the target color set, and obtaining the original pixel values of all pixels corresponding to each target color; an area division sub-module, configured to divide the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight; The first statistical submodule is used to perform statistics on the original pixel values of all pixel points of each target color in each target area, and obtain the pixel cumulative value of each target color in the target area to which it belongs; The second statistical sub-module is used to perform weighted statistics on the accumulated pixel values of each target color in all target areas according to the target weight of each target area, and obtain the pixel statistical value of each target color. 9. The device according to claim 7, wherein the first calculation module is further configured to perform white balance on the current image to be photographed according to a target color set to obtain a gain value corresponding to each target color, Pixel statistics corresponding to each target color are obtained according to the gain value. 10. The apparatus according to claim 8, wherein the calculation submodule comprises: a matching unit for matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel; The calculation unit is used for detecting the electrical analog signals of all the pixels, and performing analog-to-digital conversion on the electrical analog signals of all the pixels to obtain the original pixel values of all the pixels. 11. The device according to claim 7, wherein the detection module further comprises: The comparison sub-module is used to compare the ratio of the pixel uniform value of any two target colors with the target threshold to obtain the comparison result; The obtaining sub-module is configured to obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to represent the mapping relationship between the combination of the comparison result and the target color and the target calculation formula. 12 . The device according to claim 11 , wherein the comparison sub-module is further configured to compare the ratio of the pixel uniform values of any two target colors with the first target threshold, the second target threshold and the third target respectively. 13 . thresholds are compared, wherein the first target threshold, the second target threshold and the third target threshold correspond to the current combination of the two target colors; Then the acquisition sub-module includes: a first obtaining unit, configured to obtain a corresponding first target calculation formula according to a target mapping relationship if the ratio is less than the first target threshold; a second obtaining unit, configured to obtain a corresponding second target calculation formula according to the target mapping relationship if the ratio is not less than the first target threshold and not greater than the second target threshold; a third obtaining unit, configured to obtain a corresponding third target calculation formula according to the target mapping relationship if the ratio is greater than the second target threshold and not greater than the third target threshold; A fourth obtaining unit, configured to obtain a corresponding fourth target calculation formula according to the target mapping relationship if the ratio is greater than the third target threshold. 13. An electronic device, characterized in that, comprising: one or more processors; a memory; a plurality of application programs; and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions, When the instructions are executed by the device, the device is caused to perform the following steps: Obtain the current image to be photographed, target exposure time and target sensitivity; Detecting the currently-to-be-photographed image according to a target color set, to obtain a pixel statistic value corresponding to each target color, wherein the target color set includes multiple target colors; Obtain the pixel uniform value of each target color according to the pixel statistics value, target exposure time and target sensitivity of each target color; The corresponding target calculation formula is obtained according to the ratio of the pixel uniformity values of any two target colors, and the current ambient illuminance is detected according to the target calculation formula, wherein the target calculation formula is used according to the current pixel uniformity of the two target colors. The value calculates the ambient lighting. 14 . The electronic device according to claim 13 , wherein when the instruction is executed by the device, the device executes the detection of the currently-to-be-photographed image according to the target color set, and obtains the image corresponding to each target color. 15 . The steps of pixel statistics corresponding to colors include: Detect the current image to be photographed according to the target color set, and obtain the original pixel values of all pixels corresponding to each target color respectively; dividing the current image to be photographed into a plurality of target areas, wherein each target area contains a corresponding target weight; In each target area, the original pixel values of all pixel points of each target color are counted, and the pixel cumulative value of each target color in the target area to which it belongs is obtained; The cumulative value of pixels of each target color in all target areas is weighted and counted according to the target weight of each target area, and the pixel statistics value of each target color is obtained. 15 . The electronic device according to claim 13 , wherein when the instruction is executed by the device, the device executes the detection of the currently-to-be-photographed image according to the target color set, and obtains the image corresponding to each target color. 16 . The steps of pixel statistics corresponding to colors include: Perform white balance on the current image to be photographed according to the target color set, obtain a gain value corresponding to each target color, and obtain a pixel statistical value corresponding to each target color according to the gain value. 16 . The electronic device according to claim 14 , wherein when the instruction is executed by the device, the device executes the detection of the currently-to-be-photographed image according to the target color set, and obtains and obtains the corresponding image with each color respectively. 17 . The steps of obtaining the original pixel values of all pixels corresponding to the target color include: Matching each pixel in the current image to be photographed with the target color in the target color set to obtain the target color of each pixel; The electrical analog signals of all pixels are detected, and the electrical analog signals of all pixels are analog-digital converted to obtain the original pixel values of all pixels. 17. The electronic device according to claim 13, characterized in that, when the instruction is executed by the device, the device is made to perform the calculation of obtaining the corresponding target calculation formula according to the ratio of the pixel uniform values of any two target colors. Steps include: Compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain the comparison result, and obtain the corresponding target calculation formula according to the target mapping relationship, wherein the target mapping relationship is used to characterize the comparison result and the target color. The mapping relationship between the combination of and the target calculation formula. 18. The electronic device according to claim 17, wherein when the instruction is executed by the device, the device is made to compare the ratio of the pixel uniform values of any two target colors with the target threshold to obtain Comparing the results, the steps of obtaining the corresponding target calculation formula according to the target mapping relationship include: The ratio of the pixel uniform values of any two target colors is compared with the first target threshold, the second target threshold and the third target threshold, wherein the first target threshold, the second target threshold and the third target threshold are compared. The three-target threshold corresponds to the combination of the current two target colors; If the ratio is less than the first target threshold, obtain a corresponding first target calculation formula according to the target mapping relationship; If the ratio is not less than the first target threshold and not greater than the second target threshold, obtain a corresponding second target calculation formula according to the target mapping relationship; If the ratio is greater than the second target threshold and not greater than the third target threshold, obtain a corresponding third target calculation formula according to the target mapping relationship; If the ratio is greater than the third target threshold, a corresponding fourth target calculation formula is obtained according to the target mapping relationship. 19. A computer-readable storage medium, characterized in that, a computer program is stored in the computer-readable storage medium, and when it is run on a computer, the computer is made to execute the method according to any one of claims 1-6. method.

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