JP6871795B2 - Imaging device, its control method, program and recording medium - Google Patents

Description

The present invention relates to an image pickup apparatus, a control method thereof, a program, and a recording medium.

In recent years, it is known that an imaging device such as a digital camera or a digital camcorder can record undeveloped imaging data (RAW image) immediately after being output from an imaging element on a recording medium. Since the RAW image is not developed and is recorded while maintaining the abundant number of color gradations of the signal output from the image sensor, the user can generate a desired image after imaging. There is a feature.

A technique for generating a single high-quality image by capturing and using a plurality of such RAW images is known. Patent Document 1 describes an aberration information corresponding to an captured RAW image and a header indicating that the RAW image is used for multiple synthesis when performing multiple synthesis using a plurality of RAW images obtained by a plurality of exposures (imaging). Discloses a technique for recording and as a single file.

Japanese Unexamined Patent Publication No. 2012-15967

In addition, as a technique for generating a higher quality image using a plurality of captured RAW images, a super-solution that synthesizes a plurality of RAW images captured while shifting the image sensor to generate a higher definition image. Image technology is known.

When such a super-resolution technique is used, the amount of data of the RAW image is larger than that of the compressed image. Therefore, when the data of a plurality of RAW images are recorded on the recording medium as they are at the same time as in Patent Document 1, It squeezes the free space of the recording medium.

The present invention has been made in view of the above problems, and an object of the present invention is to realize a technique capable of reducing the amount of recorded data for a plurality of RAW images captured by shifting the image sensor.

In order to solve this problem, for example, the image pickup apparatus of the present invention has the following configuration. That is, in the image pickup means for sequentially shifting the image pickup elements of the Bayer array composed of the color components of R, G, and B to acquire a plurality of RAW image data, and in at least one of the plurality of RAW image data, the Bayer It has a reduction means for reducing at least one of the signals of the two G components corresponding to the array, and a recording means for recording a plurality of RAW image data whose signals are reduced by the reduction means on a recording medium. in all of the plurality of RAW image data, the two G components of the signal corresponding to the Bayer arrangement, down cutting the signal of the first G component having a predetermined positional relationship with respect to R and B components It is characterized by doing.

According to the present invention, it is possible to reduce the amount of recorded data for a plurality of RAW images captured by shifting the image sensor.

A block diagram showing a functional configuration example of a digital camera 100 as an example of an imaging device according to an embodiment of the present invention. The figure which shows the example of the signal which comprises the RAW image corresponding to the Bayer arrangement which concerns on Embodiment 1. The figure explaining the acquisition method of the RAW image in the imaging unit 102 which concerns on Embodiment 1. A flowchart showing a series of operations of the recording process according to the first embodiment. The figure explaining the basic method of discarding G component which concerns on Embodiment 1. The figure explaining the method of discarding the G component which concerns on Embodiment 1. The figure explaining the file management method which concerns on Embodiment 1. A diagram illustrating a basic method for detecting the presence or absence of movement in an captured RAW image. The figure explaining the method of discarding the G component which concerns on Embodiment 2. The figure explaining the file management information which concerns on Embodiment 2.

(Embodiment 1)
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. In the description of the present embodiment, in order to use the super-resolution technology, the digital camera 100 as an example of the image pickup apparatus acquires four RAW images while shifting the image pickup element one pixel at a time in one shooting. The case of recording will be described as an example. However, this embodiment is applicable not only to a digital camera but also to any device capable of acquiring a plurality of RAW images while shifting the image sensor. These devices may include, for example, mobile phones including smartphones, game machines, tablet terminals, clock-type and eyeglass-type information terminals, medical devices, surveillance systems including surveillance cameras, in-vehicle systems, and the like.

(Configuration of Digital Camera 100)
FIG. 1 is a block diagram showing a functional configuration example of the digital camera 100 of the present embodiment. One or more of the functional blocks shown in FIG. 1 may be realized by hardware such as an ASIC or a programmable logic array (PLA), or may be realized by a programmable processor such as a CPU or MPU executing software. You may. It may also be realized by a combination of software and hardware. Therefore, in the following description, the same hardware can be realized as the main body even if different functional blocks are described as the main body of operation.

The control unit 101 includes, for example, a CPU (MPU), expands and executes a program recorded on the recording medium 105 in the memory 107, controls each block of the digital camera 100, and transfers data between the blocks. To control. The control unit 101 may separately include a ROM and a RAM inside, read the program from the ROM, expand the program in the RAM, and execute the program.

The image pickup unit 102 includes a lens optical system capable of optical zoom including an optical lens, an aperture, a focus control, and a lens drive unit, and an image pickup element having a configuration in which a plurality of pixels having photoelectric conversion elements are arranged two-dimensionally. including. The image pickup element photoelectrically converts the subject optical image formed by the lens optical system with each pixel, and further performs analog-to-digital conversion with an A / D conversion circuit to perform pixel-by-pixel digital signals (that is, RAW image data, simply RAW). (Also called an image) is output. The output RAW image is stored in the memory 107 via the memory I / F 106. The image sensor may be a CCD (Charge-Coupled Device) image sensor, a CMOS (Complementary Metal Oxide Semiconductor) image sensor, or the like. The image pickup device has, for example, a color filter having a primary color Bayer array, and each pixel is provided with any one of R (red), G1 / G2 (green), and B (blue) color filters. Therefore, the output RAW image is composed of signals corresponding to the Bayer arrangement shown in FIG. That is, the RAW image has signals of four color components corresponding to the Bayer arrangement. In the present embodiment, the G1 component is horizontally adjacent to the R component and vertically adjacent to the B component, and the G2 component is vertically adjacent to the R component and horizontally adjacent to the B component. It is assumed that they are adjacent to each other. Further, the image sensor has a configuration capable of sequentially shifting the position of the image sensor with respect to the optical axis according to the control of the control unit 101.

The data reduction unit 103 reads the RAW image stored in the memory 107, discards the G component unnecessary for full-color expression, and writes it back to the memory 107. The details of the process of discarding the G component will be described later.

The recording processing unit 104 records various data such as a RAW image in which the G component is reduced stored in the memory 107 on the recording medium 105. The recording medium 105 is a recording medium composed of, for example, a non-volatile memory having a large capacity and random access. A mounting / discharging mechanism (not shown) may allow the user to easily mount and remove the digital camera 100.

The memory I / F 106 arbitrates the memory access request from each processing unit, and performs read / write control for the memory 107. The memory 107 is a volatile memory such as SDRAM. The memory 107 provides a storage area for storing various data such as the above-mentioned image data and audio data, or various data output from each processing unit constituting the digital camera 100.

(Acquisition of RAW image)
Next, a method of acquiring a RAW image in the imaging unit 102 will be described with reference to FIG. FIG. 3 shows that the position of the image sensor in the image pickup unit 102 is shifted one pixel at a time to take an image with the passage of time (T0 → T1 → T2 → T3) shown on the vertical axis. 301 indicates an image sensor, and 302 indicates a pixel reading area in which a pixel signal is read as an effective pixel area. The image signal read from the pixels in the pixel read area is output as a RAW image shown on the right side.

First, at time T0, the pixel read start position (that is, the upper left corner of the pixel read area 302) is imaged as an R pixel. At time T1, the image sensor 301 is shifted to the right by one pixel, so that the pixel read start position is taken as a G1 pixel. At time T2, the image sensor 301 is further shifted downward by one pixel from the position at time T1, so that the pixel read start position is imaged as B pixel. Finally, at time T3, the image sensor 301 is further shifted to the left by one pixel from the position at time T2, so that the pixel readout position is imaged as a G2 pixel.

By shifting the image sensor and taking images four times in this way, four colors of R, G1, G2, and B at one pixel position are acquired. Originally, in order to obtain a full-color image from a RAW image, a pixel interpolation process called demosaic is performed using the signal of each pixel and the signal of an adjacent pixel in one RAW image, but demosaic is generally performed. It causes moire and false color. On the other hand, the super-resolution that can obtain a full-color image by four times of imaging can obtain a high-definition image without moire or false color due to demosaic processing.

(A series of operations related to recording processing)
Next, a series of operations related to the recording process will be described with reference to FIG. Note that this recording process is started, for example, when the shutter button, which is an operating member (not shown), is fully pressed. Further, this processing is realized by the control unit 101 developing and executing the program recorded on the recording medium 105 in the working area of the memory 107 and controlling each unit such as the imaging unit 102 and the data reduction unit 103. To.

In S401, the imaging unit 102 acquires a RAW image in response to an imaging instruction from the control unit 101. At this time, the image sensor 102 shifts the position of the image sensor as shown in FIG. 3, for example, according to the control amount (shift amount and direction) for shifting the image sensor supplied from the control unit 101. Then take an image. The acquired RAW image is stored in the memory 107 via the memory I / F 106.

In S402, the control unit 101 determines whether all (four in this example) RAW images have been acquired. When the control unit 101 determines that the acquisition of four RAW images has been completed by, for example, a counter for counting imaging, the process proceeds to S403, and when it is determined that the acquisition has not been completed, the process returns to S401.

In S403, the data reduction unit 103 reads the RAW image stored in the memory 107 and performs the data reduction process described in detail below (that is, the process of discarding the G component unnecessary for full-color expression). After that, the data reduction unit 103 writes back the image data whose amount of data has been reduced to the memory 107 again.

Here, a basic method of discarding the G component will be described with reference to FIG. FIG. 5A shows an original image (4 frame image) obtained by imaging four times while shifting the image sensor, and FIG. 5B shows the original image shown in FIG. 5A. On the other hand, an image in which the G1 pixel is discarded is shown. On the other hand, FIG. 5 (c) shows an image in which the signal of the G2 component is discarded with respect to the original image shown in FIG. 5 (a). In this data reduction process, even if data in which one of the signals having overlapping color components is reduced, such as G1 and G2, is recorded, it is possible to construct an RGB full-color image using four images. There is. By discarding the signals of the G1 component or the G2 component of all frames in this way, it is possible to reduce the amount of data by 25% with respect to the original image while enabling full-color expression.

On the other hand, when the correlation between four RAW images captured at close time is low, such as when capturing a moving subject, the image generated by the super-resolution processing can be obtained with good image quality. Sometimes not. That is, when the data is reduced as shown in FIGS. 5 (b) and 5 (c), in the demosaic processing, all the frames are images in which the signals of the G1 component and the G2 component are insufficient as compared with the original image of the Bayer array. Will be processed using. That is, the G component performs demosaic processing with low interpolation accuracy.

Therefore, FIG. 6 shows a method of discarding the G component that reduces data without degrading the interpolation accuracy of the demosaic process. FIG. 6A shows images in which the signals of the G1 and G2 components of the third and fourth sheets are discarded, and FIG. 6B shows images of the G1 and G2 components of the second and third sheets. The image showing the discarded signal is shown. Further, FIG. 6 (c) shows an image in which the signals of the first and second G1 and G2 components are discarded, and FIG. 6 (d) shows the signals of the first and fourth G1 and G2 components. Shows the discarded image.

In this way, by utilizing the fact that the G1 component and the G2 component are the same color components, the signals of the pixels of these components are discarded in two of the four images. By doing so, the first and second sheets are shown in FIG. 6 (a), the first and fourth sheets are shown in FIG. 6 (b), and the third and fourth sheets are shown in FIG. 6 (c). In 6 (d), the images of the Bayer arrangement can be retained in the second and third RAW images. Further, the amount of data can be reduced by 25% with respect to the original image as in the case of FIG. When performing full-color expression using super-resolution processing, it is desirable to use images with a short time distance (for example, continuously captured) in order to reduce the influence of the movement of the subject. Therefore, the G pixels are formed by using the methods of FIGS. 6 (a), 6 (c), and 6 (d) in which the images in which the Bayer arrangement is held (the images in which the signal is not reduced) are close in time. It is desirable to discard it.

The operation of the recording process will be described again with reference to FIG. In S404, the recording processing unit 104 reads the image data whose data amount is reduced in S403 from the memory 107 and records it on the recording medium 105 in response to the instruction of the control unit 101. At this time, the recording processing unit 104 records the image information of each of the four image data to be recorded as the file management information. When the recording of the image data is completed, the control unit 101 ends a series of operations of the main recording process.

Here, an example of a file management method for recording image data with a reduced amount of data according to the present embodiment will be described with reference to FIG. 7. FIG. 7A shows an example of a file management method when recording image data on the recording medium 105, and FIG. 7B shows an example of file management information. In the example of FIG. 7A, the file management information 701 is held separately from the image file generated in S403. Then, as shown in FIG. 7B, in the file management information 701, each image file is managed by grouping a plurality of RAW images capable of generating a full-color image. For example, in group 001, the image file 0001. raw, 0002. raw, 0003. raw, 0004. raw belongs. Then, image information is associated with each of the grouped image files. This image information is an identifier for determining whether or not the G pixel is discarded, and represents the type of recording method. For example, the image data in which the G component is left is recorded as the recording type A, the image data in which both the G components are discarded is recorded as the recording type B, the image data in which the G1 component is discarded is recorded as the type C, and the image data in which the G2 component is discarded is recorded as the recording type. Record separately as D. By recording such file management information together with the image data in which the amount of data is reduced, the presence or absence of the G component of the image data can be easily specified. When these image data are subjected to demosaic processing to obtain a full-color image, the image data recorded in the recording type A may be selected in order to acquire the G component. As described above, by discarding the G component in frame units, it is possible to reduce data unnecessary for full-color expression without degrading the interpolation accuracy of demosaic.

In the present embodiment, an example of recording the file management information separately from the image data has been described, but the file management information may be recorded in the image file, for example, as metadata. Further, although it has been described that four RAW images are captured in one shooting, the number is not limited to this as long as a combination capable of generating full-color images is configured.

As described above, in the present embodiment, at least one of the G1 component and the G2 component, which are the same color components, is discarded in a plurality of RAW images captured by shifting the image sensor. By doing so, it becomes possible to provide an imaging device capable of reducing the amount of recorded data for a plurality of RAW images. In particular, among a plurality of RAW images, a specific RAW image in which the G1 component and the G2 component are discarded and a RAW image in which the G component is not discarded are provided. By doing so, even when a moving subject is imaged, deterioration of image quality after demosaic can be prevented and the amount of recorded data can be reduced.

(Embodiment 2)
Next, the second embodiment will be described. In the first embodiment, an example of reducing the amount of recorded data by discarding the G component in frame units has been described on the premise that a full-color image is obtained by demosaic. However, when the presence or absence of movement of the subject differs depending on the image region, it is desirable to select super-resolution and demosaic for each image region to obtain a full-color image. Therefore, in the present embodiment, a data reduction method that makes it possible to determine the presence or absence of movement in the image will be described so that super-resolution and demosaic can be selected for each image region. In this embodiment as well, it is assumed that four RAW images are acquired while sequentially shifting the image sensor pixel by pixel with one shooting instruction by the user. Further, the configuration of the digital camera 100 of the present embodiment is the same as that of the first embodiment. For this reason, the same configuration and the same steps are designated by the same reference numerals, duplicated explanations are omitted, and differences will be mainly described.

A data reduction method that enables determination of the presence or absence of movement in an image will be described with reference to FIGS. 8 and 9. As described above, in general, in super-resolution processing, good image quality cannot be obtained when the temporal correlation between frames is low. Therefore, it is desirable to be able to generate a full-color image using super-resolution when there is no movement between frames, and to generate a full-color image using demosaic when there is movement. It is necessary to be able to detect movement between frames.

FIG. 8 shows a basic method for detecting the presence or absence of movement in a RAW image captured by shifting the image sensor. Presence or absence of movement by calculating the difference value between the G pixels at the same position (in the example of FIG. 8, the difference value is calculated between the G components at the position 801 or the difference value is calculated between the G components at the position 802). Can be detected. That is, when the difference value is smaller than the predetermined threshold value, it can be determined that there is no movement, and when the difference value is larger than the predetermined threshold value, it can be determined that there is movement. However, when the RAW image is subjected to the G component discarding process shown in the first embodiment, the G component may not exist at the same position and the difference may not be calculated.

Therefore, FIG. 9 shows a method of discarding the G component that can detect the presence or absence of movement. FIG. 9A shows a RAW image in which the G1 component of the third RAW image is discarded and the G1 and G2 components of the fourth RAW image are discarded. FIG. 9B is an image in which the third G2 component is discarded and the fourth G1 and G2 component is discarded. In FIG. 9A, the third G2 component is left without being discarded with respect to the data reduction method shown in FIG. 6A in the first embodiment. This makes it possible to calculate the difference between the G1 component of the first sheet and the G2 component of the third sheet and detect the presence or absence of movement. Further, the same applies to FIG. 9B, and it is possible to detect the presence or absence of movement by calculating the difference between the G2 component of the first sheet and the G1 component of the third sheet.

By discarding the G component while leaving the data required for full-color expression and the data for calculating the difference in this way, the amount of data can be reduced by about 19% with respect to the original image. In the present embodiment, it has been described that all the G components of the fourth frame are discarded and either the G1 component or the G2 component of the third frame is discarded. However, it is sufficient that there are two frames for leaving all the G components, one frame for discarding all the G components and one frame for discarding either the G1 component or the G2 component, and the method for discarding the G component is not limited to this. ..

As the data reduction method described in the present embodiment, the file management method described in the first embodiment can be used. FIG. 10 shows an example of file management information 701 when the reduction method in the present embodiment is applied. As described above, in the present embodiment, at least one frame in which either the G1 component or the G2 component is left out of the four images is left in order to enable the determination of the presence or absence of movement. Therefore, the file management information 701 contains four types of records: recording type A (with G component), recording type B (without G component), recording type C (without G1 component), or recording type D (without G2 component). The type of method will be included in each group.

As described above, in addition to discarding the G1 and G2 components of one frame, at least one frame in which either the G1 component or the G2 component is left is left. By doing so, it is possible to detect the presence or absence of movement in each area of the image, and it is possible to select the optimum full-color image generation method.

(Other embodiments)
The present invention supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device reads and executes the program. It is also possible to realize the processing. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

101 ... Control unit, 102 ... Imaging unit, 103 ... Data reduction unit, 107 ... Memory

Claims (16)

An image pickup means for acquiring a plurality of RAW image data by sequentially shifting an image pickup device having a Bayer array composed of R, G, and B color components.
A reduction means for reducing at least one of the signals of the two G components corresponding to the Bayer sequence in at least one of the plurality of RAW image data.
It has a recording means for recording a plurality of RAW image data whose signals have been reduced by the reduction means on a recording medium.
The reduction means is a first G component having a predetermined positional relationship with respect to the R component and the B component of the signals of the two G components corresponding to the Bayer arrangement in all of the plurality of RAW image data. to decrease cutting the signal, the image pickup apparatus characterized by. An image pickup means for acquiring a plurality of RAW image data by sequentially shifting an image pickup device having a Bayer array composed of R, G, and B color components.
In at least one of the plurality of RAW image data, among the signals of the two G components corresponding to the Bayer sequence, the signal of the first G component having a predetermined positional relationship with respect to the R component and the B component. At least reduction measures and
It has a recording means for recording a plurality of RAW image data whose signals have been reduced by the reduction means on a recording medium.
The reduction means does not reduce the signals of the two G components in the first RAW image data of the plurality of RAW image data, but in the second RAW image data of the plurality of RAW image data. Reduce both of the two G component signals ,
The reduction means uses at least two RAW image data captured continuously from the plurality of RAW image data as the first RAW image data.
An imaging device characterized by this. The imaging device according to claim 2 , wherein the reduction means reduces only the signal of the first G component in the third RAW image data among the plurality of RAW image data. An image pickup means for acquiring a plurality of RAW image data by sequentially shifting an image pickup device having a Bayer array composed of R, G, and B color components.
In at least one of the plurality of RAW image data, among the signals of the two G components corresponding to the Bayer sequence, the signal of the first G component having a predetermined positional relationship with respect to the R component and the B component. At least reduction measures and
It has a recording means for recording a plurality of RAW image data whose signals have been reduced by the reduction means on a recording medium.
The reduction means does not reduce the signals of the two G components in the first RAW image data of the plurality of RAW image data, but in the second RAW image data of the plurality of RAW image data. Reduce both of the two G component signals,
The reduction means reduces only the signal of the first G component in the third RAW image data among the plurality of RAW image data.
An imaging device characterized by this. The plurality of reduced RAW image data of the signal uses the RAW image data in which the signals of the two G components are not reduced and the RAW image data in which only the signal of the first G component is reduced. The imaging device according to claim 3 or 4 , wherein the magnitude of movement of the subject can be determined. The recording means is characterized in that each of the RAW image data constituting the plurality of reduced RAW image data of the signal is associated with a type of recording method representing the method of reducing the signals of the two G components. The imaging device according to any one of claims 1 to 5. An image pickup means for acquiring a plurality of RAW image data by sequentially shifting an image pickup device having a Bayer array composed of R, G, and B color components.
A reduction means for reducing at least one of the signals of the two G components corresponding to the Bayer sequence in at least one of the plurality of RAW image data.
It has a recording means for recording a plurality of RAW image data whose signals have been reduced by the reduction means on a recording medium.
The reduction means at least reduces the signal of the first G component having a predetermined positional relationship with respect to the R component and the B component among the signals of the two G components corresponding to the Bayer arrangement.
The recording means is characterized in that each of the RAW image data constituting the plurality of reduced RAW image data of the signal is associated with a type of recording method representing the method of reducing the signals of the two G components. Imaging device. The imaging according to claim 6 or 7, wherein the information associated with the type of the recording method is recorded separately from each of the RAW image data constituting the plurality of reduced RAW image data of the signal. apparatus. The sixth or seventh aspect of claim 6 or 7, wherein the information associated with the type of the recording method is recorded as the respective metadata of the RAW image data constituting the plurality of reduced RAW image data of the signal. Imaging device. The imaging device according to any one of claims 1 to 9, wherein the imaging means sequentially shifts the imaging element to acquire four RAW image data. It is a control method of an image pickup device having an image pickup means for sequentially shifting an image pickup element of a Bayer array composed of R, G, and B color components to acquire a plurality of RAW image data.
A reduction step of reducing at least one of the signals of the two G components corresponding to the Bayer array in at least one of the plurality of RAW image data.
The recording means includes a recording step of recording a plurality of RAW image data whose signals have been reduced in the reduction step on a recording medium.
In the reduction step, in all of the plurality of RAW image data , among the signals of the two G components corresponding to the Bayer arrangement, the first G component having a predetermined positional relationship with respect to the R component and the B component. control method for an imaging device of a to decrease cutting signal, characterized in that. It is a control method of an image pickup device having an image pickup means for sequentially shifting an image pickup element of a Bayer array composed of R, G, and B color components to acquire a plurality of RAW image data.
The first reduction means has a predetermined positional relationship with respect to the R component and the B component of the two G component signals corresponding to the Bayer sequence in at least one of the plurality of RAW image data. A reduction process that at least reduces the signal of the G component,
The recording means includes a recording step of recording a plurality of RAW image data whose signals have been reduced in the reduction step on a recording medium.
In the reduction step, the signals of the two G components are not reduced in the first RAW image data of the plurality of RAW image data, and the second RAW image data of the plurality of RAW image data is described. Reduce both of the two G component signals,
In the reduction step, at least two RAW image data captured continuously from the plurality of RAW image data are used as the first RAW image data.
A control method for an imaging device, characterized in that . It is a control method of an image pickup device having an image pickup means for sequentially shifting an image pickup element of a Bayer array composed of R, G, and B color components to acquire a plurality of RAW image data.
The first reduction means has a predetermined positional relationship with respect to the R component and the B component of the two G component signals corresponding to the Bayer sequence in at least one of the plurality of RAW image data. A reduction process that at least reduces the signal of the G component,
The recording means includes a recording step of recording a plurality of RAW image data whose signals have been reduced in the reduction step on a recording medium.
In the reduction step, the signals of the two G components are not reduced in the first RAW image data of the plurality of RAW image data, and the second RAW image data of the plurality of RAW image data is described. Reduce both of the two G component signals,
In the reduction step, only the signal of the first G component is reduced in the third RAW image data among the plurality of RAW image data.
A control method for an imaging device, characterized in that. It is a control method of an image pickup device having an image pickup means for sequentially shifting an image pickup element of a Bayer array composed of R, G, and B color components to acquire a plurality of RAW image data.
A reduction step of reducing at least one of the signals of the two G components corresponding to the Bayer array in at least one of the plurality of RAW image data.
The recording means includes a recording step of recording a plurality of RAW image data whose signals have been reduced in the reduction step on a recording medium.
In the reduction step, at least the signal of the first G component having a predetermined positional relationship with respect to the R component and the B component among the signals of the two G components corresponding to the Bayer arrangement is reduced.
In the recording step, the type of recording method representing the signal reduction method of the two G components is associated with each of the RAW image data constituting the plurality of reduced RAW image data of the signal.
A control method for an imaging device, characterized in that. A program for operating a computer as each means of the imaging apparatus according to any one of claims 1 to 10. A recording medium for recording a program for operating a computer as each means of the imaging apparatus according to any one of claims 1 to 10.

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