JP2005080011A - Imaging method, imaging apparatus, program, and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an imaging device capable of removing the complexity of a photographer's condition setting work and improving ranging accuracy and image quality.
In an imaging apparatus having an AF processing unit 105 that detects an in-focus position of a subject from an output signal of an imaging element 102, the AF processing unit 105 performs imaging according to a combination of subject luminance and subject saturation. One or more types of pixels of the element 102 are selected, and the in-focus position is detected using the selected pixels.
[Selection] Figure 1

Description

  The present invention relates to an imaging method, an imaging apparatus, a program, and a storage medium for imaging with an imaging apparatus such as an electronic still camera or a video camera.

Conventionally, imaging devices such as an electronic still camera and a video camera are known (see, for example, Patent Document 1).
JP 2002-330444 A

  However, in the conventional imaging apparatus, various condition settings have to be performed according to the scene to be photographed, which is a very complicated operation for an unskilled photographer. In addition, since the image processing corresponding to the setting is determined by the manufacturer, it cannot necessarily satisfy the photographer's desire. Furthermore, in the imaging optical system, there is a so-called chromatic aberration in which the position where the image is formed differs depending on the wavelength of the subject, and thus there is a problem that the in-focus position is not necessarily optimal depending on the color of the subject.

  Therefore, an object of the present invention is to provide an imaging method, an imaging apparatus, a program, and a storage medium that can eliminate the complexity of the condition setting work of the photographer and can improve the ranging accuracy and the image quality.

  In order to achieve the above object, an imaging method according to the present invention includes an in-focus position detecting step of detecting an in-focus position of a subject from an output signal of an image sensor, wherein the in-focus position detecting step includes subject luminance. One or a plurality of types of pixels of the image sensor are selected according to the combination of the subject and the subject saturation, and the in-focus position is detected using the selected pixels.

  In order to achieve the above object, an imaging apparatus according to the present invention includes an in-focus position detecting unit that detects an in-focus position of an object from an output signal of an image sensor, and the in-focus position detecting unit includes: According to a combination of subject luminance and subject saturation, one or a plurality of types of pixels of the image sensor are selected, and a focus position is detected using the selected pixels. To do.

  According to the present invention, it is possible to remove the complexity of the photographer's condition setting work and improve the ranging accuracy and the image quality.

  Embodiments of an imaging method, an imaging apparatus, a program, and a storage medium according to the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a block diagram illustrating a configuration of the imaging apparatus according to the first embodiment.

  In FIG. 1, reference numeral 101 denotes an imaging unit. The imaging unit 101 includes a lens system, a diaphragm, a shutter, and the like, and these are appropriately exposed and focused by the AE processing unit 104 and the AF processing unit 105. In addition, auxiliary light from the strobe 109 driven by the EF processing unit 107 is irradiated as necessary, and the image of the subject has a sensor with a pixel arrangement as shown in FIG. 2A or 2B. An image is formed on a solid-state image sensor (image sensor) 102.

  In FIG. 2A, R is red (red), B is blue (blue), and G is green (green). In FIG. 2B, M is magenta, Y is yellow, C is cyan, and G is green.

  In FIG. 1, an image formed on the surface of the image sensor 102 is photoelectrically converted into an analog signal, sent to the A / D converter 103, and converted into a digital signal. The digital signal created by the A / D conversion unit 103 is adjusted in white balance by the WB processing unit 108, and then an appropriate output image signal is created by the image processing unit 110. Further, the output image signal is subjected to image format conversion into a JPEG format or the like by the format conversion unit 111, and the image recording unit 112 performs a memory in the imaging apparatus or an external memory (such as a compact flash (registered trademark)). (Not shown).

  The above is a simple flow of data in the imaging apparatus.

  The AE processing unit 104 and the AF processing unit 105 are connected to an iSAPS (intelligent scene analysis based on photographic space) unit 106, and status data (iSAPS) is held in the storage unit 113. If the saturation value of the subject is predicted with respect to the luminance value X obtained by the AE processing unit 104 and this saturation is predicted to be large, the color information detection unit 114 obtains the color information of the subject from the video signal. The pixel used for AF calculation is determined based on the detected hue.

  Further, a signal indicating a distance measurement range that is predicted to be appropriate for the luminance value X obtained by the AE processing unit 104 is sent from the iSAPS unit 106 to the AF processing unit 105 to perform distance measurement on the subject. Distance information Y is determined. Based on the obtained (X, Y) value, it is predicted whether the subject is indoors or outdoors, and the processing of the EF processing unit 107 and the WB processing unit 108 is executed based on this prediction.

  Hereinafter, the operation of the imaging apparatus according to the present embodiment will be described with reference to the flowcharts shown in FIGS.

  In FIG. 3, steps S301 to S313, steps S314 to S321 in FIG. 4, steps S322 to S330 in FIG. 5, and steps S331 to S337 in FIG. 6 are shown.

  In FIG. 3, first, the luminance value X is obtained by the AE process in step S301, and this is sent to the iSAPS unit 106 in step S303. In the iSAPS unit 106, data of frequency values accumulated by past photographing with respect to the luminance value and saturation value of the subject as shown in FIG. 7 is held. To represent this saturation value, the square root of the square sum of the u and v of the Yuv value obtained from the RGB value obtained from the video signal, and the square root of the square sum of the a * and b * of the L * a * b * value Alternatively, Munsell's HSC value may be obtained from a table and the S value may be used.

  In FIG. 7, area A is an area with high luminance and low saturation, and includes, for example, a subject with many structures such as a distant view. In addition, the area B is an area where the saturation is high, and a case where a subject with high saturation is photographed in close proximity can be considered. Furthermore, the area C is an area where luminance is low and saturation is difficult to determine.

  After the AF processing in step S301 is completed, it is determined in step S302 what AF calculation processing should be performed (AF processing determination) based on the data held in the iSAPS unit 106. As a result of the determination, if it is the A region or the C region in FIG. 7, it is determined in step S304 that the saturation is low or difficult to determine, and the process proceeds to step S305.

In step S305, if the area of the subject is high, the process proceeds to step S306, and the high-luminance pixel is used for the AF calculation. On the other hand, if the subject area has a low C region, the process proceeds to step S307, and the low luminance pixel is used for the AF calculation. After completing the processes in step S306 and step S307, the process proceeds to the AF process in step S313.
Here, as the high-luminance pixel, for example, in the sensor shown in FIG. 2A, if only the G pixel is used, the influence of the chromatic aberration of the lens can be suppressed. In the sensor of FIG. 2B, only the G pixel may be used for the same purpose, or all the pixels may be used for the AF calculation processing depending on the method of configuring the luminance signal.

  On the other hand, it is considered appropriate to use all of the pixels for low luminance in order to minimize the influence of noise.

  If it is determined in step S304 that the region is a highly saturated region B, the process proceeds to step S308, and color information that can obtain the saturation and hue of the video signal is calculated. For these, the above-described Yuv values u and v, L * a * b * values a * and b *, HSC values S and C, etc. may be obtained.

  As a result of the calculation in step S308, if it is determined in step S309 that the hue of the subject is close to blue, the process proceeds to step S310, and the blue pixel is used for the AF calculation. If it is determined that the hue of the subject is close to red, the process proceeds to step S312 and the red pixel is used for AF calculation. Further, when neither blue nor red, that is, it is determined that the pixel is an intermediate pixel, the process proceeds to step S311 to use the intermediate pixel for AF calculation.

  After the process of steps S310 to 312 is completed, the process proceeds to the AF process of step S313.

  The case where the pixel is determined to be an intermediate pixel in step S309 is a case where the hue of the subject is green or close to magenta, or a case where the saturation of the actual subject is low as a result of calculation.

  In the sensor of FIG. 2A, a blue pixel may be a B pixel, a red pixel may be an R pixel, and an intermediate pixel may be a G pixel. In the sensor of FIG. 2B, a pixel including C (cyan) and / or M (magenta) as a blue pixel, or both, Y (yellow) or M (magenta) as a red pixel, or both. A pixel including G (green), M (magenta), or both may be used as an intermediate pixel.

  After the pixels used for the AF calculation are determined in this way, in the AF process in step S313, calculation for distance measurement using the situation data is performed based on the luminance value obtained in the AE process in step S301. Is called.

  In addition to the situation data shown in FIG. 7, the iSAPS unit 106 further holds situation data (iSAPS) of frequency values accumulated by past photographing with respect to the luminance value and distance information as shown in FIG. 8. This data is held in the storage device 113 connected to the iSAPS unit 106 shown in FIG.

  Here, a cross-sectional view at the luminance value X is shown in FIG. S0 to S10 in FIG. 9 are sampling points for detecting the in-focus position. In FIG. 9, the most frequent distance (maximum distance frequency value) Y0 and a range (ranging range) [Y1, Y2] where the frequency value around the threshold exceeds a certain threshold (distance measurement range) [Y1, Y2] are obtained by the iSAPS unit 106. In step S303, the frequency value Y0 and distance measurement range [Y1, Y2] are sent from the iSAPS unit 106 to the AF processing (AF processing unit 105) in step S313. In this AF process, [Y1, Y2] is set as the AF scan range and distance measurement is performed. In the example of FIG. 9, S1 to S4 are set as the scan range.

  After the AF process in step S313 is completed, the process proceeds to step S314 in FIG. 4 to determine whether or not the distance measurement has been completed successfully. If the distance measurement is successfully completed, the process proceeds to the indoor / outdoor determination in step S321. If the distance measurement is not successfully completed, the distance measurement process performed in step S313 in FIG. 3 is performed. Using the result, it is determined in step S315 in FIG. 4 whether the position to be focused is on the infinite (∞) side or the near side from [Y1, Y2]. Then, if the position to be focused is on the infinite side from [Y1, Y2], the distance measurement range is set to [Y2, ∞], and AF processing in step S316 is performed. 0, Y1], the distance is measured again by the AF process in step S317.

  If the distance measurement is completed in the AF process in step S316, the process proceeds to step 318. If the distance measurement is completed in the AF process in step S317, the process proceeds to step S319.

  In step S318 and step S319, it is determined whether or not the distance measurement has been completed successfully. If the distance measurement has been completed successfully, the process proceeds to indoor / outdoor determination in step S321. If the distance measurement has not been completed successfully, the process proceeds to step S320, and the acquired brightness value is obtained. The most frequent distance Y0 in the cross-sectional view at X is set as the shooting distance, and then the process proceeds to the indoor / outdoor determination process in step S321.

  In the indoor / outdoor determination process in step S321, whether the subject is indoor or outdoor is determined from the obtained luminance value X and distance information Y. As an example, in the situation data (iSAPS) shown in FIG. 8, data is determined to be indoor shooting when the luminance value of the subject is less than x and the distance is y or less, and other portions are determined to be outdoor shooting. Is included. After this information is sent from the iSAPS unit 106 to the indoor / outdoor determination process in step S321 in step S303, the process proceeds to step S322 in FIG.

  In step S322 in FIG. 5, the information is compared with the value of (X, Y), and it is determined whether or not the photographing is indoor. As a result of this comparison, if it is determined that the shooting is indoor, the process proceeds to step 323, and if it is determined that the shooting is outdoor, the process proceeds to step S324 of FIG.

  In step S323 of FIG. 5 and step S331 of FIG. 6, it is determined whether or not strobe light is emitted. If strobe light is emitted, the indoor pre-light emission & main light emission amount determination processing in step S324 of FIG. 5 and the step of FIG. The process proceeds to the outdoor pre-light emission & main light emission amount determination processing in S332. If the flash is not emitted, the process proceeds to the indoor AWB process in step S327 in FIG. 5 and the outdoor AWB process in step S335 in FIG.

  In the indoor pre-flash & main flash amount determination process in step S324 in FIG. 5 and the outdoor pre-flash & main flash amount determination process in step S332 in FIG. 6, first, the flash amount at the main exposure is determined according to the difference between outdoor and indoor. A test light emission amount for setting is determined. This test light emission amount is set so that it is small indoors and emits much outdoors. A calculation process using the luminance value obtained by measuring the light by synchronizing with the test light emission and the external light luminance value obtained by the photometry before the test light emission is performed to determine the main light emission amount.

  After the main light emission amount is determined, in step S325 of FIG. 5, it is determined whether or not the prediction that the indoor shooting was performed at the time of test light emission was really correct. In step S333 of FIG. Whether or not the prediction of outdoor shooting is really correct is determined. This is determined by, for example, an error between the light emission amount predicted during the test light emission and the main light emission amount. As a result of the determination, if it is determined that the shooting is indoor shooting or outdoor shooting, the process proceeds to the indoor AWB process in step S327 in FIG. 5 and the outdoor AWB process in step S335 in FIG.

  If it is not correct in step S325 in FIG. 5 or step S333 in FIG. 6, the process proceeds to step S326 in FIG. 5 or step S334 in FIG. Here, a numerical value indicating the degree to which it is not correctly determined that the shooting is indoor shooting or outdoor shooting is collected as the error amount. For example, it is an error amount between the light emission amount predicted during the test light emission and the main light emission amount as described above. This numerical value can be used when the indoor / outdoor determination data of the iSAPS unit 106 needs to be updated.

  In step S326 in FIG. 5, when it is determined that the outdoor photographing should be originally performed, the process proceeds to the outdoor AWB process in step S335 in FIG. Further, in step S334 in FIG. 6, since it is determined that the shooting should be performed indoors, the process proceeds to the indoor AWB process in step S327 in FIG.

  In the indoor AWB process in step S327 in FIG. 5 and the outdoor AWB process in step S335 in FIG. 6, a white detection range corresponding to outdoor shooting or indoor shooting is selected, and appropriate white balance adjustment is performed. As a feature of the outdoor white detection range, a range that is not pulled by the lawn or sky color is set, and as a feature of the indoor white detection range, a range that follows the color of the fluorescent lamp is set. Specific processing for setting the white detection range will be described below.

  FIG. 10 is a diagram illustrating an example of white detection ranges in and outside the room. In the present embodiment, an image sensor using the primary color filter shown in FIG. 2A will be described as an example. The image sensor using the complementary color filter shown in FIG. 2B can perform the same processing by obtaining RGB values by matrix calculation or the like.

The white detection range is an arbitrary step from high color temperature to low color temperature.
Cx = (RB) / Y
Cy = (R + B-2G) / Y
Y = (R + G + B) / 2 (1)
Is plotted on a two-dimensional axis (see FIG. 10). In FIG. 10, the horizontal axis corresponds to the color temperature of the light source, and the vertical axis corresponds to the green direction correction amount.

  The operation of the white balance detection means in the present embodiment will be described using the above detection axis.

  First, the input signal from the solid-state imaging device 102 in FIG. 1 divides the pixel in FIG. 2A into blocks as shown in FIG. 11, and calculates a white evaluation value (Cx, Cy) for each block. It is determined whether or not the white detection range shown in FIG.

  Here, if it is determined that the image is taken indoors from the situation data (iSAPS), it is determined in the outdoor white detection range of (b) in FIG. 10 and when it is determined that the image is taken outdoors, (c) in FIG. The integrated value and the total number of samples of the output value of each color filter of the block included in the indoor white detection range are calculated.

SumRw = ΣR (i)
SumGw = ΣG (i)
SumBw = ΣB (i)
SampleWNum = ΣSample (i) (2)
Further, a white balance coefficient is calculated from the integrated value.

WBr = 1 / (SumRw / SampleWNum)
WBg = 1 / (SumGw / SampleWNum)
WBb = 1 / (SumBw / SampleWNum) (3)
Accordingly, it is possible to adjust white balance appropriately in the indoor AWB process in step S327 in FIG. 5 or the outdoor AWB process in step S335 in FIG.

  Next, whether or not the indoor shooting was performed in step S328 in FIG. 5 and that the outdoor shooting was predicted in step S336 in FIG. 6 was actually correct in step S327 in FIG. 5 or in FIG. It is determined from the processing result of S335. This is determined by, for example, the distribution of the value of (Cx, Cy) shown in the above equation (1) on the graph shown in FIG. 10 or the white balance coefficient obtained by the above equation (3). As a result of the determination, if it is determined that the shooting is indoor shooting or outdoor shooting, the shot image processing is performed in step S330 in FIG. 5, and an appropriate output image signal is created. If the result of the determination is that it is not correct that the shooting is indoor shooting or outdoor shooting, the process proceeds to step S329 in FIG. 5 or step S337 in FIG.

  Here, a numerical value indicating the degree of failure to determine that the shooting is indoor shooting or outdoor shooting is collected as the error amount. For example, as described above, the variance value on the graph shown in FIG. 10 of the value of (Cx, Cy) shown in Equation (1) or the distribution number in each block by dividing the graph of FIG. 10 into a plurality of blocks. The area of the block exceeding a certain threshold value may be obtained, and a unique function using these and the white balance coefficient obtained from the above equation (3) may be used. This numerical value is used when the indoor / outdoor determination data of the iSAPS unit 106 needs to be updated, similar to the numerical value obtained in step S326 of FIG. 5 or step S334 of FIG.

  After performing the process of step S329 of FIG. 5 or step S337 of FIG. 6, the captured image process of step S of FIG. 5 is performed to generate an appropriate output image signal.

  The above is the operation of the imaging device according to the present embodiment.

  In the above description, data accumulated by past shooting is stored as status data (iSAPS) in the storage unit 113 provided in the iSAPS unit 106. However, a function for learning this every shooting is provided. It may be provided. Thus, an imaging device that is easy to use for the photographer can be provided by reflecting a different photographing situation for each photographer in the situation data (iSAPS).

  As described above, according to the imaging apparatus according to the present embodiment, by using the situation data (iSAPS) accumulated in the past shooting, the imaging element in the imaging device according to the combination of the body luminance and the subject saturation. By selecting the optimum pixel, the optimum distance measuring method possessed by the subject can be performed.

  Further, by incorporating the iSAPS unit 106 into the imaging apparatus, it is possible to remove the complexity of the condition setting work and improve the usability of the photographer. Thereby, in AF, conventionally, since the focal length was determined by measuring the distance of 0 to ∞, AF took a long time, according to the imaging device according to the present embodiment, By limiting the measurement distance with status data (iSAPS), it is possible to reduce the time required for AF, and to improve the distance measurement accuracy by performing a distance measurement method that is optimal for the color of the subject. Can do.

  In EF, an appropriate light emission amount can be obtained by determining the light emission amount during test light emission for setting the light emission amount during main light emission based on the situation data (iSAPS).

  Furthermore, by automatically changing the white detection range of the white balance processing based on the situation data (iSAPS), the image quality can be improved as compared with the conventional method.

  In addition, by performing the processing of the imaging apparatus according to the present embodiment, the iSAPS unit 106 can be incorporated into the imaging apparatus, and a learning function can be added thereto, and an easy-to-use imaging apparatus corresponding to the photographer can be obtained. In addition, both the speed and accuracy of focus position detection can be improved.

  The above is the description of the embodiment of the present invention. However, the present invention is not limited to this embodiment, and may be a configuration capable of achieving the functions shown in the claims or the functions of the configuration of the embodiments. Anything is applicable.

Another object of the present invention is to supply a storage medium storing software program codes for realizing the functions of the above-described embodiments to a system or apparatus, and store the computer (or CPU, MPU, etc.) of the system or apparatus. Needless to say, this can also be achieved by reading and executing the program code stored in the medium. In this case, the program code itself read from the storage medium realizes the novel function of the present invention, and the storage medium and program storing the program code constitute the present invention.
As a storage medium for supplying the program code, for example, a flexible disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a CD-R, a magnetic tape, a nonvolatile memory card, a ROM, or the like is used. it can.

  Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) operating on the computer based on the instruction of the program code. It goes without saying that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.

  Further, after the program code read from the storage medium is written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the case where the CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.

1 is a block diagram illustrating a configuration of an imaging apparatus according to a first embodiment of the present invention. It is a figure which shows an example of the pixel arrangement state on the image pick-up element in the imaging device which concerns on the 1st Embodiment of this invention. 3 is a flowchart showing a flow of operations of the imaging apparatus according to the first embodiment of the present invention. 3 is a flowchart showing a flow of operations of the imaging apparatus according to the first embodiment of the present invention. 3 is a flowchart showing a flow of operations of the imaging apparatus according to the first embodiment of the present invention. 3 is a flowchart showing a flow of operations of the imaging apparatus according to the first embodiment of the present invention. FIG. 3 is an iSAPS diagram showing subject luminance and saturation frequency values in the imaging apparatus according to the first embodiment of the present invention. It is a figure of iSAPS which shows the subject brightness | luminance and the frequency value of distance in the imaging device which concerns on the 1st Embodiment of this invention. It is IX-IX sectional drawing of FIG. FIG. 3 is a setting diagram of a white detection range outdoors and indoors in the imaging apparatus according to the first embodiment of the present invention. It is a figure which shows an example of the color detection block in the imaging device which concerns on the 1st Embodiment of this invention.

Explanation of symbols

101 Imaging unit 102 Solid-state imaging device (imaging device)
103 A / D conversion unit 104 AE processing unit 105 AF processing unit (focus position detection means)
106 iSAPS unit 107 EF processing unit 108 WB processing unit 109 Strobe 110 Image processing unit 111 Format conversion unit 112 Image recording unit 113 Storage unit 114 Color information detection unit

Claims (20)

In an imaging method including an in-focus position detecting step of detecting an in-focus position of a subject from an output signal of an image sensor,
The in-focus position detection step selects one or a plurality of types of pixels of the image sensor according to a combination of subject luminance and subject saturation, and uses the selected pixels to determine the in-focus position. An imaging method characterized by performing detection. An exposure detection step for performing exposure detection prior to focus position detection by the focus position detection step;
The imaging method according to claim 1, further comprising: a focus position detection processing method determination step that determines a focus position detection processing method based on an exposure detection result obtained by the exposure detection step. A storage step of storing in the storage means the status data accumulated by past shooting;
The imaging method according to claim 1 or 2, wherein the combination of the subject luminance and the subject saturation is stored in the storage unit as a part of the situation data.   The three-dimensional information with the subject brightness, subject distance and frequency as axes, and the three-dimensional information with the subject brightness, subject saturation and frequency as axes, as the situation data. 3. The imaging method according to 3.   4. A focus position detection determining step for determining which pixel in the image sensor is to be selected for focus position detection from the subject brightness and subject saturation based on the situation data. Or the imaging method of 4.   6. The imaging method according to claim 3, further comprising a focus detection scanning range changing step of changing a focus detection scanning range from the subject brightness and subject distance based on the situation data.   The imaging method according to claim 3, further comprising a subject distance changing step of changing a default subject distance that is set when distance measurement is impossible based on the situation data. A determination step of determining whether the vehicle is outdoor or indoor based on the situation data;
The imaging method according to claim 3, further comprising: a white detection range changing step of changing a white detection range of white balance processing based on a determination result of the determination step.   The imaging method according to any one of claims 3 to 8, wherein the storage unit can newly store and update situation data for each shooting in the storage unit. In an imaging apparatus having an in-focus position detecting means for detecting an in-focus position of an object from an output signal of an image sensor,
The focus position detection unit selects one or more types of pixels of the image sensor according to a combination of subject brightness and subject saturation, and uses the selected pixels to focus position. An imaging apparatus characterized by performing detection. Exposure detection means for performing exposure detection prior to focus position detection by the focus position detection means;
The imaging apparatus according to claim 10, further comprising: a focus position detection processing method determination unit that determines a focus position detection processing method from an exposure detection result of the exposure detection unit.   The storage means for storing the situation data accumulated by past photographing, the combination of the subject brightness and the saturation is stored in the storage means as a part of the situation data. The imaging device according to 10 or 11.   13. The three-dimensional information about the subject brightness, subject distance, and frequency, and three-dimensional information about the subject brightness, subject saturation, and frequency are used as the iSAPS. The imaging device described in 1.   13. A focus position detection determining unit that determines which pixel in the image sensor is to be selected for focus position detection from the subject brightness and subject saturation based on the situation data. The imaging device according to 13.   The imaging apparatus according to claim 12, further comprising a focus detection scanning range changing unit that changes a focus detection scanning range from the subject brightness and the subject distance based on the situation data.   16. The imaging apparatus according to claim 12, further comprising subject distance changing means for changing a default subject distance set when distance measurement is impossible based on the situation data. Judging means for judging whether the outdoor or indoor based on the situation data;
The imaging apparatus according to claim 12, further comprising: a white detection range changing unit that changes a white detection range of white balance processing based on a determination result of the determination unit.   18. The imaging apparatus according to claim 12, wherein the situation data can be updated by newly storing situation data for each photographing in the storage unit.   A program comprising computer-readable program code for implementing the imaging method according to claim 1.   A computer-readable program code for realizing the imaging method according to claim 1.

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