CN111917986A - Image processing method and its medium and electronic device - Google Patents

Abstract

The present application relates to the field of image processing technologies, and in particular, to an image processing method, medium, and electronic device, where the method includes: the method comprises the steps that the electronic equipment obtains an image to be processed, and the image to be processed is displayed on a display screen of the electronic equipment; the electronic equipment determines image quality parameters in the displayed image to be processed; the image quality parameter is obtained by online calculation by an image digital processor according to the brightness value of a pixel in the image to be processed; under the condition that the electronic equipment judges that the image quality parameters do not meet the preset image quality, the corresponding image quality parameters are improved by reasonably debugging the parameters of the corresponding image processing modules, images meeting the preset image quality standard are displayed on the display screen in real time, and the accuracy, reliability and efficiency of image processing and quality evaluation are improved.

Description

Image processing method and its medium and electronic device

technical field

The present application relates to the technical field of image processing, and in particular, to an image processing method and its medium and electronic device.

Background technique

With the development of image processing technology, the requirements for image quality are getting higher and higher, and it is necessary to perform image processing on the captured images, so as to reduce or eliminate the damage of certain parameters of the image caused by the influence of the external environment, such as image Parameters such as color saturation and contrast, pixel spacing, etc., to obtain an image that meets the expected effect. Therefore, image processing and image effect evaluation are very important.

In the prior art, the image quality is generally debugged online. After it is considered that an ideal index is achieved through subjective evaluation, the picture is saved, and an offline debugging tool is used to analyze the objective image index. In this way, image processing and objective image analysis are not coordinated in real time, there is a certain time difference, the evaluation delay is large, and the evaluation efficiency is not high; moreover, in the actual operation process, there are considerable limitations due to human subjective judgment, and the Due to the limitation of the experience of image tuning engineers, the optimal results of subjective judgment are often very different from objective indicators. The evaluation results are subjective, the evaluation accuracy is low, and the reliability and efficiency of the evaluation are not high.

SUMMARY OF THE INVENTION

The present application discloses an image processing method and medium thereof, which can obtain a target image that meets the requirements after an objective quality evaluation of the image, thereby improving the reliability and efficiency of the evaluation.

In a first aspect, an embodiment of the present application provides an image processing method, the method comprising: acquiring an image to be processed by an electronic device, and displaying the image to be processed on a display screen of the electronic device;

The electronic device determines the image quality parameter in the displayed image to be processed; the image quality parameter is calculated by an image digital processor according to the brightness value of the pixel in the to-be-processed image;

When the electronic device determines that the image quality parameter does not meet the preset image processing conditions, the preset image processing conditions include preset image quality parameters; Perform image processing on the image to be processed to obtain an image that satisfies the preset image quality parameter, and

The electronic device displays an image satisfying a preset image quality parameter on the display screen.

In the embodiment of the present application, due to the influence of the external environment, the brightness and clarity of the image to be processed may be damaged during the shooting and imaging process, and an image that meets the quality requirements cannot be obtained. The image quality parameters in the image to be processed are calculated to obtain objective parameters that can objectively evaluate the quality of the image to be processed, and the image is processed according to the preset image quality parameters to improve the accuracy, reliability and efficiency of image processing.

In a possible implementation of the above-mentioned first aspect, the image quality parameters include a contrast value of a selected area of the image, a signal-to-noise ratio value of a selected area of the image, an edge sharpness value of a selected area of the image, and a value of the selected image area. At least one of the average brightness value of the area and the real-time histogram of the selected area of the image.

In a possible implementation of the above-mentioned first aspect, the above-mentioned method further includes:

When it is determined that the image quality parameter satisfies the preset image quality parameter condition, the image satisfying the preset image quality parameter is stored in the memory.

In a possible implementation of the above-mentioned first aspect, the above-mentioned method further includes:

The electronic device displays an image satisfying a preset image quality parameter and a preset image quality parameter on the display screen.

An image satisfying the preset image quality parameter and the preset image quality parameter are displayed in a designated area on the display, so that the user can view the image processing result in real time and improve the user experience.

In a possible implementation of the above-mentioned first aspect, performing image processing on the displayed image to be processed based on the preset image quality parameter to obtain an image satisfying the preset image quality parameter, including:

The designated area on the display screen displays a preset image quality parameter selection menu;

obtaining the image processing request, the image processing request including the preset image quality parameter input in the preset image quality parameter selection menu;

Image processing is performed on the displayed image to be processed based on the preset image quality parameter to obtain an image that satisfies the preset image quality parameter condition.

An image quality parameter selection menu is displayed on the display, which facilitates the user to independently select objective image processing parameters and improves user experience.

In a possible implementation of the above-mentioned first aspect, the above-mentioned method further includes:

In the case of determining that the image quality parameter satisfies the preset image quality parameter condition, the electronic device stores the image satisfying the preset image quality parameter condition in the memory.

In a possible implementation of the above-mentioned first aspect, in the case that the electronic device determines that the image quality parameter does not meet the preset image processing condition, based on the preset image quality parameter, the to-be-displayed Processing the image and performing image processing to obtain an image that meets the preset image quality parameters includes: when the electronic device determines that the average brightness value of the selected area of the image is not within the preset brightness value range, then, by an image digital processor, the displayed image is processed by an image digital processor. Image processing is performed on the image to be processed, and the average brightness value of the image is adjusted within a preset brightness interval, so that the image quality parameter satisfies preset image processing conditions.

In a possible implementation of the above-mentioned first aspect, the above-mentioned method further includes: the electronic device displays an image test chart in a designated area of the display screen.

In a possible implementation of the above-mentioned first aspect, the above-mentioned method further includes:

Displaying the contrast value of the selected area of the image, the signal-to-noise ratio value of the selected area of the image, the edge sharpness value of the selected area of the image, the average brightness value of the selected area of the image, and the At least one of the real-time histograms of selected regions of the image.

In a second aspect, an implementation of the present application provides a machine-readable medium, wherein the machine-readable medium stores an instruction, and when the instruction is executed on a machine, causes the machine to execute the above-mentioned image processing method .

In a third aspect, an embodiment of the present application also provides an electronic device, characterized in that it includes:

memory for storing instructions executed by one or more processors of the electronic device, and

The processor is one of the processors of the electronic device, and is used for executing the above-mentioned image processing method.

Description of drawings

FIG. 1 shows a scene diagram of an application of an image processing method provided by an embodiment of the present application.

FIG. 2 is a schematic diagram of hardware and software structures of a camera 200 according to an embodiment of the present application.

FIG. 3 is a schematic flowchart of an image processing method provided by an embodiment of the present application.

FIG. 4A shows a display interface diagram of an image processing method provided by an embodiment of the present application.

FIG. 4B shows a display interface diagram of still another image processing method provided by an embodiment of the present application.

FIG. 5 shows a block diagram of a system on chip (System on Chip, SoC) provided by an embodiment of the present application.

Detailed ways

The present application will be further described below with reference to specific embodiments and accompanying drawings.

Illustrative embodiments of the present application include, but are not limited to, image processing methods and media thereof, and the like.

The present application discloses an image processing method and medium thereof, which can conduct an objective quality assessment on an image in real time and process the image to obtain an image that meets the requirements, thereby improving the reliability and efficiency of image processing.

The embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

FIG. 1 shows an application scenario diagram of an image processing method provided by a specific embodiment of the present application. As shown in Figure 1, the application scenario includes 100.

It can be understood that although the camera 100 is shown in FIG. 1 , the electronic device 100 applicable to the present application may be various devices with functions of capturing pictures, videos and processing pictures and videos, such as, but not limited to, the camera 100, Mobile phones, tablets, laptops, desktop computers, smart TVs, etc. The camera 100 captures an image through the camera 100a, or a video formed by a continuous image; the captured image is displayed on the display screen 100b of the camera 100; the camera 100 calculates the image quality parameters in the captured image; , contrast, sharpness, edge sharpness, etc.; when the camera 100 determines that the image quality parameter is greater than or equal to the preset image quality parameter or is not within the range of the preset image quality parameter, the camera 100 adjusts the display based on the preset image quality parameter. The image obtained is subjected to image processing to obtain an image satisfying the preset image quality parameter, and the camera 100 displays the image satisfying the preset image quality parameter on the display screen.

For convenience of description, the technical solution of the present application is described below by taking the electronic device 100 as the camera 100 as an example.

Specifically, FIG. 2 shows a schematic diagram of a hardware structure of a camera 100 according to an embodiment of the present application. The following describes a schematic diagram of the hardware structure of the camera 100 with reference to FIG. 2 .

As shown in FIG. 2 , the camera 200 may include a camera 101 , system control logic 102 , a display screen 103 , a processor 104 and a memory 105 .

The camera 101 is used to capture images.

System control logic 102 may include any suitable interface controller to provide any suitable interface to at least one of processors 104 and/or any suitable device or component in communication with system control logic 102 .

The display screen 103 is used for displaying images and realizing human-computer interaction with the user. In some embodiments of the present application, the display screen 103 may be used to display an image satisfying preset image quality parameters. If it is a video formed by continuous images, a video formed by a sequence of images satisfying preset image quality parameters can be presented on the display screen.

The processor 104 may include one or more processing units. For example, the processor 104 may include an image signal processor (ISP), a controller, a video codec (Video Codec), a digital signal processor (digital signal processor) processor, DSP), etc. Wherein, different processing units may be independent devices, or may be integrated in one or more processors. For example, the processor 104 may determine an image quality parameter in the image to be processed; determine whether the image quality parameter satisfies a preset image quality parameter. Image signal processor (ISP) is used to post-process the signal output by the image sensor. The main functions are: image brightness processing, sharpness processing, edge sharpness processing, linear correction, noise removal, and dead pixel removal. , interpolation, white balance, automatic exposure control, etc.

Memory 105 is used to store instructions and data. In some embodiments, the memory 105 is a cache memory, a static random-access memory (SRAM), or a direct memory (DMA). The memory 105 may hold instructions or data used or recycled by the processor 104 . If the processor 104 needs to use the instruction or data again, it can be called directly from the memory 105 . Repeated accesses are avoided, reducing the latency of the processor 104, thereby increasing the efficiency of the system. In some embodiments of the present application, the memory 105 may store images satisfying preset image quality parameters.

The camera 100 can realize shooting and picture processing functions through the camera 101, the system control logic 102, the display screen 103, the processor 104, the memory 105, and the like.

It can be understood that the hardware architecture of the camera 100 shown in the embodiments of the present application does not constitute a specific limitation on the camera 200 . In other embodiments of the present application, the camera 200 may include more or less components than shown, or some components are combined, or some components are separated, or different components are arranged.

Taking the electronic device 100 as the camera 100 as an example, an image processing method provided by an embodiment of the present application will be described in detail below with reference to FIG. 3 .

FIG. 3 is a schematic flowchart of an image processing method of the camera 100 according to an embodiment of the present application. As shown in Figure 3, the method includes:

S301: The camera 100 acquires the to-be-processed image, and displays the to-be-processed image on the display screen of the camera 100.

In this embodiment of the present application, the camera 100 captures an image to be processed in the target scene.

S302: The camera 100 determines an image quality parameter in the displayed image to be processed; the image quality parameter is calculated by an image digital processor according to the brightness value of the pixel in the to-be-processed image. It can be understood that the image digital processor may be a processor disposed in the camera; the image digital processor may also be a processor disposed outside the camera 100 , fixedly or detachably connected to the peripheral interface of the camera 100 .

Due to the influence of the external environment and other influences on the image to be processed, the brightness and clarity of the image to be processed may be damaged during the shooting and imaging process, and an image that meets the quality requirements cannot be obtained. Therefore, the camera 100 needs to calculate the image quality parameters in the images to be processed, so as to obtain objective parameters that can objectively evaluate the quality of the images to be processed, and process the images that do not meet the quality requirements to improve the accuracy of image processing.

In the embodiment of the present application, the image quality parameters include the contrast value of the selected area of the image, the signal-to-noise ratio value of the selected area of the image, the edge sharpness value of the selected area of the image, the average brightness value of the selected area of the image, the At least one of the real-time histograms of the selected area, the selected area is a partial area or all areas of the image, and the details are as follows:

(a) The brightness value of the pixel and the corresponding pixel quantity information (ie histogram); the common understanding of image brightness is the brightness of the image, so that an image can be defined as a two-dimensional function f(x, y), image Each pixel in can be represented by (x, y) coordinates, and the magnitude f at any pair of spatial coordinates (x, y) is called the intensity or grayscale of the image at that point, if the grayscale value f Between [0, 255], the closer the f value is to 0, the lower the brightness, and the closer the f value is to 255, the higher the brightness. In some embodiments, the brightness value of a pixel and the corresponding pixel quantity information are the number of pixels corresponding to the brightness value of each pixel, and are displayed on the display screen in the form of a histogram, the X axis is the pixel brightness value, and the Y axis is the pixel brightness value. is the number of pixels. For example, the pixel brightness value is 200 and the number of pixels is 59.

(b) The contrast value of the image; the contrast value of the image refers to the difference between the dark and bright images, and the multiple relationship between the dark and bright images, that is, the ratio between the maximum gray level and the minimum gray level of the image;

(c) The value of the signal-to-noise ratio of the image. The signal-to-noise ratio is an important indicator for evaluating image noise. The calculation of the signal-to-noise ratio requires the calculation of the mean square error of the pixels in the specified rectangular area.

(d) The edge sharpness value of the image; image sharpening is to compensate the contour of the image, enhance the edge of the image and the part of grayscale transition, and make the image clear. Sharpness, the sharpness of the image is calculated by the modulation transfer function (Modulation Transfer Function, MTF), and the content of the MTF calculation in the horizontal, vertical, 45-degree and 135-degree directions can be displayed on the display interface.

(e) The average brightness value of the image; the brightness value includes the average brightness value of the image, and the average brightness value is the average value of the brightness of all pixels.

The brightness value of the pixel and the corresponding pixel quantity information, the contrast value of the image, the signal-to-noise ratio value of the image, the edge sharpness value of the image and the average brightness value of the image are not independent of each other. Causes changes in other features of the image. The degree of change depends on the characteristics of the image itself. Therefore, it is necessary to process the above image quality parameters at the same time to obtain a better image, and the pixel values in the image to be processed are easier to obtain, which is convenient and fast. Image processing is performed on the image to be processed.

In some embodiments, in order to facilitate the user to see the image quality parameters, the camera 100 performs an objective image quality index calculation on the displayed image to be processed, and directly displays the image quality on the display screen through an on-screen display (OSD) mode. display, so as to obtain the objective quality index of the current evaluation image in real time, so as to improve the efficiency of image tuning. Specifically, it includes:

After the camera 100 determines the image quality parameter in the image to be processed, the camera 100 displays an image satisfying the preset image quality parameter and the preset image quality parameter in a designated area on the display of the camera 100 . It is convenient for users to see the image processing results in real time and improve user experience.

The designated area may be a designated area in an image to be processed or a processed image, or an operation area in the display interface of the camera 100, so that a complete picture can be viewed.

In addition, in some embodiments, professional image test charts such as 24-color charts, ISO12233 definition charts, and (Kodakstep charts) can also be displayed in a designated area of the display screen, so as to facilitate testing according to professional images. The pixel value in the chart evaluates the image quality parameters in the image to be processed. The designated area can be the display area corresponding to the image to be processed or the processed image, or the display area other than the image to be processed or the processed image.

S303: The camera 100 determines whether the image quality parameter satisfies the preset image processing condition, and the preset image processing condition includes the preset image quality parameter; if not, go to S304; if yes, go to S305.

In some embodiments, satisfying the preset image processing condition may be: the image quality parameter is greater than or equal to the preset image quality parameter; or; the image quality parameter is within the range of the preset image quality parameter.

For example, image quality parameters such as the brightness value of the pixel, the contrast value of the image, the signal-to-noise ratio value of the image, and the edge sharpness value of the image are greater than or equal to the preset image quality parameters, which are deemed to meet the preset image processing conditions.

If the average brightness value is within the range of the preset image quality parameters, it is considered that the image quality parameters satisfy the preset image processing conditions.

The image quality parameter that does not meet the preset image processing condition may be: the image quality parameter is smaller than the preset image quality parameter; or the image quality parameter is not within the range of the preset image quality parameter.

For example, if image quality parameters such as pixel brightness value, image contrast value, image signal-to-noise ratio value, and image edge sharpness value are smaller than the preset image quality parameters, it is deemed that the preset image processing conditions are not met.

If the average brightness value is not within the range of the preset image quality parameters, it is regarded as not meeting the preset image processing conditions.

S304: The camera 100 performs image processing on the displayed image to be processed based on the preset image quality parameter through a digital processor, and jumps to S301; until an image that meets the preset image quality parameter is obtained, the camera 100 displays on the display screen that meets the preset image quality parameter. Set the image quality parameters of the image.

In some embodiments, the camera 100 determines that a pixel in the image has a brightness value of the pixel that is less than or greater than the preset brightness value, and adjusts the brightness value of the pixel less than or greater than the preset brightness value to the preset brightness value. Display the adjusted image on the display.

Contrast, signal-to-noise ratio, etc. are descriptions of different dimensions of objective indicators of image quality, which are both independent and related to each other. Independence means that these indicators are debugged separately and independently during debugging, and correlation refers to the indicators of a certain dimension. An increase is likely to result in a decrease in another index, so it is necessary to adjust the contrast, signal-to-noise ratio, etc. accordingly.

In some embodiments, the camera 100 determines that the contrast value of the image is less than the preset contrast value, and increases the value of the maximum gray level of the pixel in the image, so that the contrast value of the image is greater than or equal to the preset contrast value. Display the adjusted image on the display. In addition, in some embodiments, the camera 100 determines that the contrast value of the image is smaller than the preset contrast value, and reduces the minimum gray value of the pixel in the image, so that the contrast value of the image is equal to the preset contrast value. Display the adjusted image on the display.

In addition, in some embodiments, different image quality parameters need to debug corresponding digital circuit modules of different ISPs (image digital processors). The parameters are adjusted to obtain an image that meets the preset image quality parameters. The digital circuit for noise reduction may be two low-pass filters connected in series. This filter has parameters such as the corresponding noise cutoff frequency, noise reduction intensity, edge preservation threshold, etc., to process the electrical signal of the image to be processed, and obtain greater than or equal to Images to be processed that are greater than the preset SNR value.

In some embodiments, edge sharpness values in the horizontal, vertical, 45 degree and 135 degree directions of the image are determined by a modulation transfer function. Image sharpening is to compensate the outline of the image, enhance the edge of the image and the gray-scale transition part, and make the image clear. Make the edge sharpness value of the image greater than or equal to the preset edge sharpness value, and display the adjusted image on the display screen.

In some embodiments, when the camera 100 determines that the average brightness value of the selected area of the image is not within the preset brightness value range, the image digital processor performs image processing on the displayed image to be processed, and the average brightness value of the image is The adjustment is within a preset brightness interval, so that the image quality parameter satisfies preset image processing conditions. Display the adjusted image on the display.

In some embodiments, the camera 100 determines that the average brightness value of the image is less than or greater than the preset average brightness value, and the brightness value of the pixels of the image is adjusted to the preset average brightness value. Display the adjusted image on the display.

In addition, in some embodiments, when the average brightness calculated online is lower than expected, the magnification of the photosensitive device is increased, and when it is higher than expected, the magnification is decreased.

Image quality parameters such as image contrast value, image signal-to-noise ratio value, image edge sharpness value, and image average brightness value can be integrated in digital circuits for real-time calculation and processing. The calculation of some image quality parameters is very complicated, which is not conducive to the realization of the image digital processor. Considering the feasibility and complexity of the image digital processor implementation, the circuit for calculating the objective image quality index used in the embodiments of the present application uses image digital processing. The circuit of the brightness information statistics module in the device makes full use of the image digital processor, and does not need to add a new circuit on the basis of the image digital processor, thereby reducing the cost. The real-time coordination of image processing and objective image analysis, to a certain extent, overcomes the limitations of human subjective judgment, and is limited by the experience of image tuning engineers, and obtains images with very close objective indicators, improving the accuracy of image evaluation and image processing. .

In some embodiments, the adjusted image is displayed on the display screen. It is convenient for the user to see an image that meets the requirements of the preset image parameters, and the user experience is improved.

In addition, in some embodiments, image processing is performed on the displayed image to be processed based on the preset image quality parameter to obtain an image that meets the preset image quality parameter, specifically, including:

The camera 100 displays a preset image quality parameter selection menu in a designated area on the display screen;

The camera 100 acquires an image processing request, and the image processing request includes the preset image quality parameter input in the preset image quality parameter selection menu;

The camera 100 performs image processing on the displayed image to be processed based on the preset image quality parameter to obtain an image satisfying the preset image quality parameter condition.

For example, FIG. 4A shows a display interface diagram of an image processing method of a camera 100 provided by an embodiment of the present application. As shown in FIG. 4A , after the camera 100 determines the image quality parameter in the image to be processed, it displays on the display screen The image quality parameter 401 of the current image and the preset image quality parameter selection menu 402, the image quality parameter selection menu 402 includes the contrast value of the image, the signal-to-noise ratio value of the image, the signal-to-noise ratio value of the image, and the edge sharpness value of the image. and the image's average brightness value option. The camera 100 determines the image processing request in response to the gesture operation in the image quality parameter selection menu. Input the preset image quality parameters in the image quality parameter selection menu, click the OK button 405 in the image quality parameter selection menu, the image processing request includes the preset image quality parameters input in the preset image quality parameter selection menu, the camera 100 is the After acquiring the image processing request, the camera 100 performs image processing on the displayed image to be processed based on the preset image quality parameter to obtain an image that meets the preset image quality parameter. FIG. 4B shows a display interface diagram of still another image processing method provided by an embodiment of the present application. The 24-color card 404 is displayed in the display interface diagram, so that the 6 gray-scale color cards in the 24-color card are used as reference standards, and the image to be processed is processed according to the preset signal-to-noise ratio value to obtain an image that meets the preset image quality parameters. In addition, a histogram obtained according to the brightness value of the pixel and the corresponding pixel quantity information can also be displayed on the display interface. In addition, in addition to displaying the 24-color chart 404 on the display interface, it is also possible to display image test charts such as ISO12233 definition charts, Kodak step charts, etc. for different image quality parameter tuning.

By setting the preset image quality parameter selection menu, it is convenient for the user to set the preset image quality parameters according to objective needs, so that the camera 100 can adjust the image to the image required by the preset image quality parameter.

An image quality parameter selection menu is displayed on the display of the camera 100 to facilitate the user to independently select objective image processing parameters and improve user experience.

The camera 100 performs image processing on the image to be processed based on a preset image quality parameter to obtain a processed image. For example, the camera 100 performs multiple image processing on the image to be processed based on a preset image quality parameter to obtain a processed image.

S305: The camera 100 displays the image satisfying the preset image quality parameter on the display screen, and the camera 100 stores the image satisfying the preset image quality parameter in the memory.

Embodiments of the present application further provide a machine-readable medium, where an instruction is stored on the machine-readable medium, and when the instruction is executed on the machine, the machine executes the above-mentioned image processing method.

Optionally, in this embodiment, the above-mentioned storage medium may be located in at least one network server among multiple network servers of a computer network. Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic Various media that can store program codes, such as discs or optical discs.

The embodiment of the present application also provides one, including:

memory for storing instructions for execution by one or more processors of the system, and

The processor, which is one of the processors, is used to execute the above-mentioned image processing method. This has the function of realizing the above-mentioned image processing method. The functions can be implemented by hardware, or by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above functions.

According to another embodiment of the present application, a system on chip (System on Chip, SoC) is provided. FIG. 5 shows a block diagram of a System on Chip (SoC) 200 . In Figure 5, similar components have the same reference numerals. Also, the dotted box is an optional feature of more advanced SoCs. In FIG. 5, SoC 200 includes: interconnect unit 210, which is coupled to application processor 110; system proxy unit 220; bus controller unit 230; integrated memory controller unit 240; 250, which may include integrated graphics logic, image processor, audio processor and video processor; Static Random-Access Memory (SRAM) unit 260; Direct Memory Access (DMA) unit 270.

The embodiments disclosed herein may be implemented in hardware, software, firmware, or a combination of these, and the embodiments of the present application may be implemented as a computer program or program code executing on a programmable system that may include at least one process memory, storage system (including volatile and nonvolatile memory and/or storage elements), at least one input device, and at least one output device.

The program code can be applied to the input instruction to execute the image quality parameter in the image to be processed for determining the display described in this application; in the case of judging the image quality parameter and the preset image quality parameter, the preset image quality parameter is based on the image quality parameter. Perform image processing on the displayed image to be processed to obtain an image satisfying preset image quality parameter conditions, and display the image satisfying preset image quality parameter conditions on the display screen and generate output information. The output information can be applied to one or more output devices in a known manner.

For the purposes of this application, a processing system includes a processing system such as a digital signal processor (DSP), image digital processor (ISP), microcontroller, Application Specific Integrated Circuit (ASIC), or microprocessor. any system for the device.

The program code may be implemented in a high-level procedural language or an object-oriented programming language to communicate with the processing system. The program code may also be implemented in assembly or machine language, if desired. In fact, the mechanisms described in this application are not limited in scope to any particular programming language. In either case, the language may be a compiled language or an interpreted language. When doing circuit design for hardware implementation, the language here refers specifically to programmable logic design languages, such as Verilog, VHDL, etc. The so-called saving circuit design costs also refers to this situation.

Although the present application has been illustrated and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and detail may be made therein without departing from the present disclosure The spirit and scope of the application.

Claims (10)

1. An image processing method, characterized in that the method comprises:

the method comprises the steps that an electronic device obtains an image to be processed and displays the image to be processed on a display screen of the electronic device;

the electronic equipment determines image quality parameters in the displayed image to be processed; the image quality parameter is calculated by an image digital processor according to the brightness value of the pixel in the image to be processed;

under the condition that the electronic equipment judges that the image quality parameter does not meet a preset image processing condition, the preset image processing condition comprises a preset image quality parameter; performing image processing on the displayed image to be processed through an image digital processor based on the preset image quality parameter to obtain an image meeting the preset image quality parameter, and

and the electronic equipment displays the image meeting the preset image quality parameter on the display screen.

2. The method of claim 1, wherein the image quality parameter comprises at least one of a contrast value of the selected region of the image, a signal-to-noise value of the selected region of the image, an edge sharpness value of the selected region of the image, an average luminance value of the selected region of the image, and a real-time histogram of the selected region of the image.

3. The method of claim 1, further comprising: and the electronic equipment displays the image meeting the preset image quality parameter and the preset image quality parameter on the display screen.

4. The method according to claim 1, wherein the image processing the displayed image to be processed based on a preset image quality parameter to obtain an image satisfying the preset image quality parameter comprises:

displaying a preset image quality parameter selection menu in a designated area on the display screen;

the image processing request is obtained, and the image processing request comprises a preset image quality parameter input in a preset image quality parameter selection menu;

and performing image processing on the displayed image to be processed based on the preset image quality parameter to obtain an image meeting the preset image quality parameter condition.

5. The method of claim 1, further comprising: and under the condition that the image quality parameter is judged to meet the preset image quality parameter condition, the electronic equipment stores the image meeting the preset image quality parameter condition in a memory.

6. The method according to claim 1, wherein in a case that the electronic device determines that the image quality parameter does not satisfy a preset image processing condition, performing image processing on the displayed image to be processed based on the preset image quality parameter to obtain an image satisfying the preset image quality parameter comprises: and if the electronic equipment judges that the average brightness value of the selected area of the image is not in a preset brightness value interval, the image digital processor performs image processing on the displayed image to be processed, and the average brightness value of the image is adjusted in the preset brightness interval, so that the image quality parameter meets the preset image processing condition.

7. The method of claim 1, further comprising: and the electronic equipment displays the image test chart in the designated area of the display screen.

8. The method of claim 1, further comprising: displaying on the display at least one of a contrast value of the selected region of the image, a signal-to-noise ratio value of the selected region of the image, an edge sharpness value of the selected region of the image, an average brightness value of the selected region of the image, and a real-time histogram of the selected region of the image based on the brightness values of the pixels.

9. A machine-readable medium having stored thereon instructions which, when executed on a machine, cause the machine to perform the image processing method of any one of claims 1 to 8.

10. An electronic device, comprising:

a memory for storing instructions for execution by one or more processors of the electronic device, an

A processor, being one of the processors of the electronic device, for performing the image processing method of any one of claims 1 to 8.

Images