JP2008258916A - Image processor, control method for image processor and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To facilitate management of image data without requiring to store two pieces of image data, one being image data before subjected to image processing and one being image data subjected to image processing, each time the image processing is performed. <P>SOLUTION: The image processor for performing image processing of the image data is provided with a history setting judging means for judging whether history information of image processing is set in the image data (step S402), and an inverse processing means for performing image processing of inverse processing of image data before subjected to image processing of the history information, with respect to the image data for which the history setting judging means judges that history information is set (step S403). <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an image processing apparatus that processes digital image data obtained by photographing with a digital camera, for example, a control method for the image processing apparatus, and a computer program.

  An imaging apparatus such as a digital still camera converts an electrical signal of a captured image obtained by photoelectrically converting a subject optical image with an imaging element such as a CMOS or CCD into digital data and stores it as RAW data. The image pickup device is configured such that receptors for receiving R, G, and B colors are regularly arranged. Therefore, digital data stored as RAW data is also arranged in the same manner.

  In order to output a captured image with an image output device, it is necessary to perform color interpolation, gamma correction processing, white balance adjustment processing, and the like on RAW data to create image data such as RGB images and JPGs. Here, a series of processes for creating image data such as RGB images and JPG from RAW data is hereinafter referred to as development or development processing. When RAW data is used, the user can arbitrarily set image parameters such as white balance, and deterioration of image quality can be further suppressed.

  The resolution of an image taken with a digital still camera is very high, and the amount of image data obtained by development is very large. For this reason, image data is often compressed and stored in JPG or the like. In addition, since the development process takes a very long time, the RAW data and the developed image data are often stored in different locations, and the developed image data is used for browsing and fine-tuning the image. It is done.

  However, the image data after development cannot know the processing performed on the RAW data at the time of development, and once developed, the processing performed before development cannot be redone. There is. The same applies to the case where RAW data that is the source of development is lost.

  Further, the same problem may occur not only in the development processing of RAW data, but also when image data is subjected to some image processing and stored. For example, if a profile is applied to image data 1 and is overwritten and saved as image data 2, the profile cannot be changed for image data 1.

  In order to solve such a problem, various contrivances have been made in image processing apparatuses that perform image processing. For example, in the invention of Patent Document 1, a history file that stores an editing history is provided for image data, and the editor visually determines the history file and performs the process again on the original image data. Thus, the image data can be edited again or changed.

JP 2000-57322 A JP 2005-159995 A

  However, in the invention of the above-mentioned Patent Document 1, in order to redo or change image data, image data before image processing is necessarily required. That is, every time image processing is performed on image data, the image data before image processing and the image data after image processing must be stored. For this reason, if a large amount of image processing is performed, a large storage area for storing image data in the storage medium must be secured. In addition, when image data before image processing is saved as a separate file, if the image data before image processing is lost, the image data cannot be re-edited or changed. .

  The present invention has been made in view of the above-described problems, and each time image processing is performed, the image data before image processing and image data after image processing are stored. The object is to make it easy to manage image data.

  An image processing apparatus according to the present invention is an image processing apparatus that performs image processing on image data, and history setting determination means that determines whether image processing history information is set in the image data; A reverse processing unit that performs reverse processing on the image data before the history information image processing is performed on the image data for which the history information is determined to be set by the history setting determination unit; It is characterized by that.

  Another image processing apparatus according to the present invention is an image processing apparatus that performs image processing on image data, parameter setting means for setting image processing parameters, and image processing history information in the image data. A history setting determination means for determining whether or not the history information is set, and the parameter setting means can set the parameter only for the image data for which the history information is determined to be set by the history setting determination means. Features.

  Another image processing apparatus according to the present invention is an image processing apparatus that performs image processing on image data, parameter setting means for setting image processing parameters, and image processing history information in the image data. A history setting determining unit that determines whether or not the history information is set, and a reversible process determining unit that determines a process that can be reversely processed from the history information of the image data that has been determined that the history information is set by the history setting determining unit. And the parameter setting unit can set the parameter only for the parameter determined to be a process that can be reversely processed by the reversible process determination unit.

  Another image processing apparatus according to the present invention is an image processing apparatus that performs image processing on image data, and includes parameter setting means for setting image processing parameters and parameters set by the parameter setting means. Image processing execution means for performing image processing on the image data according to the information processing apparatus, and history information setting means for setting image processing history information for the image data subjected to image processing by the image processing execution means. It is characterized by that.

  According to the present invention, each time image processing is performed, there is no need to save two of the image data before image processing and the image data after image processing. Management can be performed easily. Further, even if the image data before the image processing is lost, the image processing can be performed again.

(First embodiment)
Embodiments according to the present invention will be described below with reference to the drawings.
FIG. 1 is a diagram illustrating a hardware configuration of the image processing apparatus according to the present embodiment.
The CPU 101 controls operations related to the image processing apparatus, and executes a program stored in the primary storage 102.

  The primary storage 102 is a storage medium and is mainly composed of a memory. The secondary storage 103 is a storage medium, and is composed of, for example, a hard disk. In general, since the capacity of the primary storage is smaller than the capacity of the secondary storage, the secondary storage 103 stores programs, data, and the like that cannot be stored in the primary storage. Data that must be stored for a long time is also stored in the secondary storage. In the present embodiment, a program that realizes the processing procedure of the present embodiment is stored in the secondary storage 103, and is read into the primary storage 102 when the program is executed, and the CPU 101 executes the execution process of the program.

  The input device 104 is, for example, a mouse or a keyboard. The user can use the input device 104 to select or input to the display screen displayed on the output device 105, or to send an interrupt signal to a program or the like. The output device 105 is, for example, a monitor or a printer, and displays image data for performing image processing and displays parameters for performing image processing. The reading device 106 directly or indirectly reads image data picked up by an image pickup device constituted by a CCD element or the like, and stores it in the primary storage 102 or the secondary storage 103.

  FIG. 2 is a flowchart showing basic operation processing of the image processing apparatus according to the present embodiment. First, in step S201, the user selects image data to be subjected to image processing, and detects image data designated by the CPU 101. In step S202, the user sets image processing parameters for performing image processing on the selected image data (parameter setting unit), and the CPU 101 detects the image processing parameters. Next, in step S203, image processing is performed on the image data selected in step S201 according to the parameters set in step S202 (image processing execution means). Hereinafter, the processing operation in each step will be described with reference to the drawings.

  FIG. 3 is a diagram illustrating an example of a display screen displayed on the monitor of the output device 105 in step S201 and step S202 described above. As shown in FIG. 3, the display screen forms a GUI (Graphical User Interface) with an image preview unit 301, a color conversion matrix selection unit 302 as a parameter setting unit, an execution button 303, and the like.

  In step S <b> 201, the CPU 101 displays a preview of the image data targeted for image processing selected by the user in the image preview unit 301. The image data to be processed may be designated by dragging and dropping an image data file from the file management system of the operating system to the image preview unit 301, for example. Alternatively, the file name of the image data may be directly input using the input device 104.

  In step S202, the color conversion matrix selection unit 302 can select an image processing parameter for the user to perform image processing. In the present embodiment, color conversion is performed as image processing, and a color conversion matrix is described as an example of image processing parameters. The color conversion matrix selection unit 302 allows the user to select an arbitrary matrix from a preset color conversion matrix group. The CPU 101 reflects the result of image processing by applying the matrix selected by the color conversion matrix selection unit 302 in the image preview unit 301 in real time. The execute button 303 applies the color conversion matrix selected by the color conversion matrix selection unit 302 to the target image data when pressed by the user.

FIG. 4 is a flowchart showing the operation process in step S203 described above according to the present embodiment. The following processing is performed on the selected image data to be processed in step S201.
First, in step S401, the CPU 101 determines whether a new matrix for performing image processing has been selected by the user. If the matrix has been changed, the process proceeds to step S402. If it has not been changed, the process ends without performing any processing.

  Next, in step S402, the CPU 101 determines whether or not history information indicating whether image processing has been performed by applying the previous color conversion matrix to the image data to be processed is added (history setting determination unit). ). If history information has been added, the process proceeds to step S403. If not added, the process proceeds to step S404.

Next, in step S403, the CPU 101 refers to the history information added to the image data, and applies the inverse matrix of the color conversion matrix M0 previously applied to the image data to be processed, that is, M0 ^−1. Reverse image processing is performed. That is, reverse image processing is performed on image data before history information image processing is performed on image data for which history information is determined to be added (reverse processing means). By performing image processing on the image data to be processed by applying the inverse matrix of the color conversion matrix M0 in step S403, it is possible to approximately return to the state before the history information image processing is performed. A procedure for performing image processing by applying a color conversion matrix to image data will be described later.

  In step S <b> 404, the CPU 101 performs image processing by applying the color conversion matrix M <b> 1 that is newly applied to image data that has been subjected to reverse image processing or image data to which no history information has been added. .

  Next, in step S405, the CPU 101 adds the information of the color conversion matrix M1 newly applied and subjected to image processing to the image data to be processed as history information (history information setting unit). If the image data to be processed is JPG, the history information is embedded in a location that does not affect the reading of the image data, such as the APP2 portion that is the outer shell portion of the JPG file structure.

  According to the present embodiment, the reverse image processing is performed on the image data to which the history information is added, after the reverse image processing is performed on the image data before the historical information image processing is performed. Image processing is performed according to the parameters set for the performed image data. Therefore, each time image processing is performed, there is no need to save the image data before the image processing and the image data after the image processing, and management of the image data subjected to the image processing is facilitated. It can be carried out.

(Explanation for applying color conversion matrix)
Here, with reference to a flowchart shown in FIG. 13, image processing for performing color conversion on an image having a size of W pixels × H pixels by the color conversion matrix M will be described. Here, the color conversion matrix is a 3 × 3 matrix, and is converted into a color array (R ′, G ′, B ′) by multiplying the pixel color array (R, G, B). can do.

  First, an area of W pixels × H pixels is secured on the primary storage 102, and image data is copied. This area can be accessed as a two-dimensional array of pixels, and the i-th pixel in the horizontal direction and the j-th pixel in the vertical direction starting from the upper left are p (i, j). In step S1301, 1 is substituted for variable j. In step S1302, 1 is substituted for the variable i. In step S1303, the color conversion matrix M is multiplied by the color array (R, G, B) of the pixel p (i, j) to convert the color of the pixel.

  Next, the variable i is incremented by 1 in step S1304. Next, i and W are compared in step S1305. If i> W, the process proceeds to step S1306. Otherwise, the process proceeds to step S1303. In step S1306, the variable j is incremented by “1”. In step S1307, j is compared with H. If j> H, the process ends. If not, the process proceeds to step S1302.

  As a result of performing the processing described above, it is possible to obtain image data that has been subjected to image processing by applying the color conversion matrix M to the image data. Hereinafter, when image processing is performed by applying a color conversion matrix, the above processing is performed.

(Second Embodiment)
In the first embodiment, general image data such as JPG has been described. However, development of RAW data can be similarly performed. In the present embodiment, a case where a RAW data developing function is added to the image processing apparatus described in the first embodiment will be described. Hereinafter, image data that is not RAW data is referred to as an RGB image. It is assumed that the development process is part of the image process.

  Here, the method disclosed in Patent Document 2 may be used for the RAW data development processing. Here, the developing process will be briefly described with reference to FIG. FIG. 14 shows an imaging apparatus that captures image data read by the reading device 106 of FIG. Development processing is performed in the color processing block 22 and the JPG processing block 23 of the image pickup apparatus. The image processing apparatus according to the present embodiment includes the color processing block 22 and the JPG processing block 23.

  First, a subject image is formed on the image sensor 10 through the main photographing optical system 30, and an output signal from the image sensor 10 is sequentially transmitted to a predetermined digital for each pixel via the CDS / AGC / AD circuit 13. It is converted into a signal, that is, RAW data. Thereafter, the RAW data is subjected to correction for removing pattern noise in the correction block 14 and stored in the buffer memory 16 via the front memory controller 15. Under the control of the front memory controller 15, the data in the buffer memory 16 storing the photographing data is transferred to the work memory 21 via the rear memory controller 18. Next, the data in the work memory 21 is subjected to color interpolation processing and matrix correction in the color processing block 22 connected to the bus A to perform R, G, and B conversion processing, and stored in the work memory 21 again. To do. Data stored in the work memory 21 is compressed based on a predetermined compression format via the JPG processing block 23. In this way, the RAW data is developed by the color processing block 22 and the JPG processing block 23.

  The basic operation processing of the image processing apparatus according to this embodiment is the same as the flowchart shown in FIG. 2 in the first embodiment. Next, the processing operation in each step will be described with reference to the drawings. Note that the image processing apparatus according to this embodiment will be described as a development tool capable of developing RAW data.

  FIG. 5 is a diagram illustrating an example of a display screen displayed on the monitor of the output device 105 in step S201 and step S202 according to the present embodiment. As shown in FIG. 5, the display screen includes a GUI including an image preview unit 501, a white balance selection unit 502 as a parameter setting unit, a gamma value selection unit 503 as a parameter setting unit, an execution button 504, and the like. Yes. Note that description of the same configuration as in the first embodiment is omitted.

  In step S <b> 201, the CPU 101 displays a preview of the RAW data or RGB image that is the target of image processing selected by the user in step S <b> 201. In step S202, the white balance selection unit 502 and the gamma value selection unit 503 can select image processing parameters for the user to perform image processing.

  In this embodiment, white balance adjustment and gamma value correction are performed as image processing, and a white balance matrix and gamma values are described as examples of image processing parameters. In the white balance selection unit 502 and the gamma value selection unit 503, the user can select an arbitrary matrix from a preset matrix group. The CPU 101 reflects the result of image processing using the matrix selected by the white balance selection unit 502 and the gamma value selection unit 503 in the image preview unit 501 in real time. The execution button 504 applies the matrix selected by the white balance selection unit 502 and the gamma value selection unit 503 to target image data when pressed by the user.

FIG. 7 is a flowchart showing the operation process in step S203 described above according to the present embodiment. The following processing is performed on the selected RAW data or RGB image in step S201.
First, in step S <b> 701, the CPU 101 determines whether a new matrix for performing image processing has been changed by the user. If the matrix has been changed, the process proceeds to step S702. If it has not been changed, the process ends without performing any processing.

  In step S <b> 702, the CPU 101 determines whether the image data to be processed is RAW data. If it is RAW data, the process proceeds to step S703. If it is an RGB image, the process proceeds to step S704.

  In step S703, the CPU 101 applies the new parameters selected by the white balance selection unit 502 and the gamma value selection unit 503 to the RAW data, and performs the above-described development processing.

  In step S <b> 704, the CPU 101 determines whether history information indicating whether the previous image processing has been performed is added to the RGB image that is the processing target image data. If history information has been added, the process proceeds to step S705. If not added, the process proceeds to step S707.

  Next, in step S705, the CPU 101 refers to the history information added to the RGB image, identifies the gamma value γ0 previously applied to the RGB image, and determines the gamma value (1 / γ0) for the RGB image. In reverse image processing to perform gamma correction at. In step S705, by applying the gamma value (1 / γ0) to the RGB image and performing reverse image processing, it is possible to approximate the state before the history information image processing is performed. Note that an existing technique may be used for the gamma correction procedure, and the description thereof is omitted here.

Next, in step S706, the CPU 101 refers to the history information added to the RGB image, identifies the matrix M0 previously applied to the RGB image, and inverse matrix of the matrix M0 to the RGB image, that is, M0. ^-1 is applied to perform reverse image processing. In step S706, by applying the inverse processing of the white balance matrix M0 to the RGB image and performing the inverse processing, it is possible to approximate the state before the history information image processing is performed.

  In step S <b> 707, the CPU 101 performs image processing by applying the newly applied matrix M <b> 1 to the RGB image subjected to the reverse image processing or the RGB image to which no history information is added. Next, in step S708, the CPU 101 performs image processing for performing gamma correction with a newly applied gamma value γ1 on the RGB image that has been subjected to image processing by applying the matrix M1.

  Next, in step S709, the CPU 101 embeds information on the matrix M1 and the gamma value γ1 newly applied to the RGB image as history information in the RGB image. Here, if the image processing is the development processing, that is, if the image data before the image processing is RAW data, the history information affects, for example, the reading of the image data to be processed in the header portion of the RAW data. Save it in a place where it will not be given.

FIG. 8 is a flowchart showing an operation process when RAW data or an RGB image is read into the development tool in this embodiment. In this flowchart, when history information is not added to the RGB image, the user cannot change the parameter.
First, in step S801, the CPU 101 reads image data to be processed. In step S802, the CPU 101 determines whether the image data to be processed is RAW data. If it is RAW data, the process proceeds to step S804. If it is an RGB image, the process proceeds to step S803.

  In step S803, the CPU 101 determines whether or not history information indicating whether the previous image processing has been performed is added to the RGB image (history setting determination unit). If history information has been added, the process proceeds to step S804. If not, the process proceeds to step S805.

In step S804, the CPU 101 adds history information to the RGB image, enables the white balance selection unit 502 and the gamma value selection unit 503 in FIG. 5, and allows the user to freely change the parameters. Here, the CPU 101 determines processing that can be reversely processed from the history information (reversible processing determination means), and can set only parameters of processing that can be reversibly processed.
In step S805, the CPU 101 does not add history information to the RGB image, invalidates the white balance selection unit 502 and the gamma value selection unit 503 in FIG. 5, and prevents the user from changing parameters.

  According to the present embodiment, when RAW data is read and development processing is performed, an RGB image in which history information is embedded is created. Also, when an RGB image is read and image processing is performed, the RGB image is updated to a new one, and history information is added and stored.

  According to the present embodiment, it is possible to set image processing parameters for image data for which history information is determined to be set.

(Third embodiment)
In the first embodiment and the second embodiment, the image data to be processed is compressed image data like JPG, and the image quality deteriorates because decoding and encoding are repeated each time image processing is performed. End up. In order to prevent this, when a link to RAW data is embedded in the developed image data and image processing is performed on the developed image data, the operation is automatically performed from the development of the RAW data to the image processing. Also good. The image processing apparatus according to this embodiment will be specifically described. Hereinafter, the image data after the development process is referred to as an RGB image, and the development process is a part of the image process.

  The basic operation processing of the image processing apparatus according to this embodiment is the same as the flowchart shown in FIG. 2 in the first embodiment. The display screen displayed on the monitor of the output device 105 of the image processing apparatus according to the present embodiment will be described as being the same as that shown in FIG.

FIG. 9 is a flowchart showing the operation process in step S203 described above according to the present embodiment. The following processing is performed on the selected RAW data or RGB image in step S201.
First, in step S901, the CPU 101 determines whether or not a parameter for newly performing image processing has been changed by the user. If the parameter has been changed, the process proceeds to step S902. If it has not been changed, the process ends without performing any processing.

  Next, in step S902, the CPU 101 determines whether the image data to be processed is RAW data. If it is RAW data, the process proceeds to step S903. If it is an RGB image, the process proceeds to step S905.

  In step S903, the CPU 101 applies the set new parameter to the RAW data and performs the above-described development processing.

  Next, in step S904, the CPU 101 adds location information of RAW data to the image data of the RGB image created by performing the development process. Here, the location information is a full path and is a part of history information. In particular, a configuration for adding location information of RAW data to an RGB image is called location information setting means.

  In step S905, the CPU 101 determines whether history information indicating whether the previous image processing has been performed is added to the RGB image to be processed. If history information has been added, the process proceeds to step S906. If not added, the process proceeds to step S909.

  Next, in step S906, the CPU 101 determines whether or not location information representing the full path of the RAW data is added to the RGB image to be processed. If the location information is added, the process proceeds to step S907. If not added, the process proceeds to step S908. Here, in particular, a configuration for determining whether or not location information indicating the full path of the RAW data is added is referred to as location setting determination means.

  Next, in step S907, it is determined whether or not RAW data exists at the location represented by the location information added in step S906. If the RAW data can be specified, the process proceeds to step S903. If not specified, the process proceeds to step S908.

.
Next, in step S908, as in steps S705 to S706 of the flowchart shown in FIG. 7, the CPU 101 refers to the history information and performs reverse image processing on the RGB image.
Next, in step S909, as in steps S707 to S708 of the flowchart shown in FIG. 7, the CPU 101 performs image processing by applying the newly applied parameters to the RGB image.

  Next, in step S910, as in step S709 in the flowchart shown in FIG. 7, the CPU 101 adds information on parameters newly applied to the RGB image as history information.

FIG. 10 is a flowchart showing an operation process when RAW data or an RGB image is read into the development tool in this embodiment. In this flowchart, when history information is not added to the RGB image, the user cannot change the parameter.
First, in step S1001, the CPU 101 reads image data to be processed. In step S1002, the CPU 101 determines whether the image data to be processed is RAW data. If it is RAW data, the process proceeds to step S1006. If it is an RGB image, the process proceeds to step S1003.

  In step S1003, the CPU 101 determines whether or not location information indicating the full path of the RAW data is added to the RGB image. If the location information has been added, the process proceeds to step S1004. If not, the process proceeds to step S1005.

  Next, in step S1004, the CPU 101 determines whether or not RAW data exists at the location represented by the location information added in step S1003. If the RAW data can be specified, the process proceeds to step S1006. If not specified, the process proceeds to step S1005.

  In step S1005, the CPU 101 determines whether or not history information indicating whether the previous image processing has been performed is added to the RGB image. If history information has been added, the process proceeds to step S1006. If not, the process proceeds to step S1007.

In step S1006, the CPU 101 adds history information to the RGB image, enables the white balance selection unit 502 and the gamma value selection unit 503 in FIG. 5, and allows the user to freely change the parameters.
In step S1007, if not added to the RGB image, the CPU 101 invalidates the white balance selection unit 502 and the gamma value selection unit 503 in FIG. 5 so that the user cannot change the parameter.

  According to the present embodiment, since the location information of the image data before the development process is added to the image data after the development process, the image data before the development process can be specified in the image processing of the image data after the development process. it can. Therefore, when image processing is performed on the developed image data, the image processing can be performed again from the image data before the development processing. That is, even if the image data to be processed is image data compressed like JPG, the image processing is performed on the image data before the development processing, so that the image quality does not deteriorate.

(Fourth embodiment)
In the third embodiment, if RAW data location information is added to developed image data and then the RAW data file is renamed, moved, or deleted, the developed image data and RAW data location information The link between will break. In order to prevent this, the location information may be updated when a RAW data file is renamed, moved, or deleted. This embodiment will be specifically described. The image data after the development process is referred to as an RGB image, and the development process is a part of the image process.

  The basic operation processing of the image processing apparatus according to this embodiment is the same as the flowchart shown in FIG. 2 in the first embodiment.

  FIG. 6 is a diagram illustrating an example of a display screen displayed on the monitor of the output device 105 in step S201 and step S202 according to the present embodiment. As shown in FIG. 6, the display screen includes a GUI including an image preview unit 601, a file movement button 602, a file deletion button 603, a rename button 604, a white balance selection unit 605, a gamma value selection unit 606, an execution button 607, and the like. is doing. Note that the description of the same configuration as the above-described embodiment is omitted.

  In the image preview unit 601, the CPU 101 displays a preview of RAW data or an RGB image that is an object of image processing. When the user presses the file move button 602, the CPU 101 moves the file of the currently opened image data. Here, as an operation of moving the file, for example, the user may directly input the destination path by the input device 104, or the folder list may be opened to select the destination.

  When the user presses the file deletion button 603, the currently opened image data file is deleted. When the user presses the rename button 604, the name of the currently opened image data file is changed. Here, as an operation for changing the name of the file, for example, the user directly inputs the name of the new file with the input device 104.

  In the white balance selection unit 605 and the gamma value selection unit 606, the user can select an arbitrary matrix from a preset matrix group. The execute button 607 applies the matrix selected by the white balance selection unit 605 and gamma value selection unit 606 to target image data when pressed by the user.

FIG. 11 is a flowchart showing the operation process in step S203 described above according to the present embodiment. The following processing is performed on the selected RAW data or RGB image in step S201.
First, in step S1101, the CPU 101 determines whether or not a parameter for newly performing image processing has been changed by the user. If the parameter has been changed, the process proceeds to step S1102. If it has not been changed, the process ends without performing any processing.

  Next, in step S1102, the CPU 101 determines whether the image data to be processed is RAW data. If it is RAW data, the process proceeds to step S1103. If it is an RGB image, the process proceeds to step S1106.

  In step S1103, the CPU 101 applies a new parameter to the RAW data and performs development processing.

Next, in step S1104, the CPU 101 adds location information of RAW data to the image data of the RGB image created by performing the development process.
In step S1105, the CPU 101 adds location information of an RGB image created by performing development processing to the RAW data.

Next, the processing of steps S1106 to S1110 is the same as steps S905 to S909 of the flowchart shown in FIG.
The processing in step S1111 is similar to step S709 in the flowchart shown in FIG. 7, and the CPU 101 adds newly applied parameter information as history information to the RGB image.

FIG. 12 is a flowchart showing an operation process when performing a file operation such as renaming, moving, or deleting a file of image data with the development tool in the present embodiment. The CPU 101 executes the following processing.
First, in step S1201, it is determined whether a file to be processed is RAW data. If it is RAW data, the process proceeds to step S1202. If it is an RGB image, the process advances to step S1209.

  In step S1202, it is determined whether or not location information indicating the full path of the developed RGB image is added to the RAW data. If the location information is added, the process proceeds to step S1203. If not added, the file operation is performed on the RAW data to be processed, and the process ends.

  In step S1203, the number of location information added in step S1202 is stored as a constant n. In step S1204, 0 is substituted for variable i. In step S1205, the variable i is incremented by “1”. Next, in step S1206, it is determined whether or not a developed RGB image exists at a location representing the i-th location information in the location information in step S1202. If the developed RGB image can be specified, the process proceeds to step S1207. If not specified, the process proceeds to step S1208.

  In step S1207, the location information of the RAW data added to the developed RGB image specified in step S1206 is updated. That is, when RAW data is renamed or moved, new location information is added to the RGB image. When deleting the RAW data, the location information of the RAW data added to the RGB image is deleted.

  Next, in step S1208, the value of the variable i and the constant n are compared. If i = n, a file operation such as renaming, moving, or deleting the RAW data file to be processed is performed, and the process ends. If i = n is not true, the process returns to step S1205.

  In step S1209, it is determined whether location information indicating the full path of the RAW data is added to the RGB image file. If the location information has been added, the process proceeds to step S1210. If it has not been added, the file operation is performed on the RGB image file to be processed, and the process ends.

  Next, in step S1210, it is determined whether or not RAW data exists at the location represented by the location information added in step S1209. If RAW data can be specified, the process proceeds to step S1211. If not specified, the file operation is performed on the RGB image file to be processed, and then the process ends.

  Next, in step S1211, the location information of the RGB image file after development added to the RAW data specified in step S1210 is updated. When renaming or moving an RGB image file, new location information is added to the RAW data. When deleting the RGB image, the location information of the RGB image added to the RAW data is deleted.

  According to this embodiment, the location information of image data before image processing is added to the image data after image processing, and the location information of image data after image processing is added to the image data before image processing. Also, when file operation is performed on one image data file, the location information of the file after file operation is added to the other image data, so that the image data after image processing and the image data before image processing are The link between is not broken.

  Each means constituting the image processing apparatus and each step of the control method of the image processing apparatus according to the embodiment of the present invention described above can be realized by operating a program stored in a RAM, a ROM, or the like of the computer. This program and a computer-readable recording medium recording the program are included in the present invention.

  In addition, the present invention can be implemented as, for example, a system, apparatus, method, program, or recording medium. Specifically, the present invention may be applied to a system including a plurality of devices.

  The present invention supplies a software program for realizing the functions of the above-described embodiments directly or remotely to a system or apparatus. In addition, this includes a case where the system or the computer of the apparatus is also achieved by reading and executing the supplied program code.

  Accordingly, since the functions of the present invention are implemented by computer, the program code installed in the computer also implements the present invention. In other words, the present invention includes a computer program itself for realizing the functional processing of the present invention. In that case, as long as it has the function of a program, it may be in the form of object code, a program executed by an interpreter, script data supplied to the OS, and the like.

  Further, the functions of the above-described embodiments are realized by the computer executing the read program. Furthermore, based on the instructions of the program, the OS or the like running on the computer performs part or all of the actual processing, and the functions of the above-described embodiments can be realized by the processing.

  As another method, the program read from the recording medium is first written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer. Then, based on the instructions of the program, the CPU or the like provided in the function expansion board or function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are also realized by the processing.

  In the above-described embodiment, only the case of embedding as a case where history information or location information is added to the image data has been described. However, history information and location information may be set for image data by linking history information and location information to image data.

  In the above-described embodiment, image data before image processing can be deleted after image processing, but may be stored as it is.

It is a figure which shows the structure of the image processing apparatus which concerns on this embodiment. 3 is a flowchart showing an operation process of the image processing apparatus according to the present embodiment. It is a figure which shows an example of the display screen displayed on the output device which concerns on 1st Embodiment. 3 is a flowchart illustrating image processing of the image processing apparatus according to the first embodiment. It is a figure which shows an example of the display screen displayed on the output device which concerns on 2nd Embodiment. It is a figure which shows an example of the display screen displayed on the output device which concerns on 4th Embodiment. 10 is a flowchart illustrating image processing of the image processing apparatus according to the second embodiment. 10 is a flowchart illustrating processing at the time of starting a display screen of the image processing apparatus according to the second embodiment. 10 is a flowchart illustrating image processing of an image processing apparatus according to a third embodiment. 14 is a flowchart illustrating processing at the time of starting a display screen of the image processing apparatus according to the third embodiment. 10 is a flowchart illustrating image processing of an image processing apparatus according to a fourth embodiment. 14 is a flowchart illustrating processing when a file is renamed / moved in the image processing apparatus according to the fourth embodiment. 10 is a flowchart illustrating an example of performing image processing by applying a color conversion matrix. It is a figure for demonstrating development processing.

Explanation of symbols

101 CPU
102 Primary storage 103 Secondary storage 104 Input device 105 Output device 106 Reading device 301 Image preview section 302 Color conversion matrix selection section 303 Execution button 501 Image preview section 502 White balance selection section 503 Gamma value selection section 503 Execution button 601 Image preview section 602 File move button 603 File delete button 604 Rename button 605 White balance selection part 606 Gamma value selection part 607 Execution button

Claims (16)

An image processing apparatus that performs image processing on image data,
History setting determination means for determining whether image processing history information is set in the image data;
Reverse processing means for performing reverse image processing on image data before image processing of the history information is performed on image data for which history information is determined to be set by the history setting determination means. An image processing apparatus characterized by that. Parameter setting means for setting image processing parameters;
Image processing execution means for performing image processing on image data in accordance with the parameters set by the parameter setting means,
The image processing execution unit performs image processing on image data that has been subjected to reverse processing by the reverse processing unit in accordance with the parameters set by the parameter setting unit. Image processing apparatus.   The image processing apparatus according to claim 2, further comprising history information setting means for setting history information of the image processing for the image data subjected to image processing by the image processing execution means. An image processing apparatus that performs image processing on image data,
Parameter setting means for setting image processing parameters;
History setting determination means for determining whether image processing history information is set in the image data;
An image processing apparatus characterized in that a parameter can be set by the parameter setting means only for image data for which history information is determined to be set by the history setting determination means. An image processing apparatus that performs image processing on image data,
Parameter setting means for setting image processing parameters;
History setting determination means for determining whether image processing history information is set in the image data;
Reversible process determination means for determining a process that can be reversely processed from the history information of image data for which history information is determined to be set by the history setting determination means,
An image processing apparatus characterized in that the parameter can be set by the parameter setting means only for a parameter that has been determined to be a reverse processable process by the reversible process determination means. An image processing apparatus that performs image processing on image data,
Parameter setting means for setting image processing parameters;
Image processing execution means for performing image processing on image data in accordance with the parameters set by the parameter setting means;
An image processing apparatus comprising: history information setting means for setting history information of image processing on image data subjected to image processing by the image processing execution means.   The image processing apparatus according to claim 6, wherein the history information includes location information of image data before image processing is performed by the image processing execution unit.   The image processing apparatus according to claim 7, wherein the image data before the image processing is RAW data. A control method of an image processing apparatus that performs image processing on image data,
A history setting determination step for determining whether image processing history information is set in the image data;
A reverse processing step of performing reverse image processing on the image data before the image processing of the history information is performed on the image data determined to have history information set by the history setting determination step. And a control method for the image processing apparatus. A control method of an image processing apparatus that performs image processing on image data,
A parameter setting step for setting image processing parameters;
A history setting determination step for determining whether image processing history information is set in the image data;
A method for controlling an image processing apparatus, wherein a parameter can be set by the parameter setting step only for image data for which history information is determined to be set by the history setting determination step. A control method of an image processing apparatus that performs image processing on image data,
A parameter setting step for setting image processing parameters;
A history setting determining step for determining whether or not image processing history information is set in the image data; and reverse processing is possible from the history information of the image data determined to be set in the history setting determining step. A reversible process determination step for determining the process,
The control method for an image processing apparatus, wherein only the parameter determined to be a process that can be reversely processed by the reversible process determination step can set the parameter by the parameter setting step. A control method of an image processing apparatus that performs image processing on image data,
A parameter setting step for setting image processing parameters;
An image processing execution step for performing image processing on image data in accordance with the parameters set in the parameter setting step;
A control method for an image processing apparatus, comprising: a history information setting step for setting history information of the image processing for the image data subjected to image processing in the image processing execution step. A computer program for controlling an image processing apparatus that performs image processing on image data,
History setting determination means for determining whether image processing history information is set in the image data;
A computer as reverse processing means for performing reverse image processing on image data before history information image processing is performed on image data for which history information is determined to be set by the history setting determination means. Computer program to make it function. Parameter setting means for setting parameters for performing image processing on image data;
A computer program for causing a computer to function as history setting determination means for determining whether image processing history information is set in the image data,
A computer program characterized in that a parameter can be set by the parameter setting means only for image data for which history information is determined to be set by the history setting determination means. Parameter setting means for setting parameters for performing image processing on image data;
History setting determination means for determining whether image processing history information is set in the image data;
A computer program for causing a computer to function as a reversible process determination unit that determines a process that can be reversely processed from the history information of image data determined to have history information set by the history setting determination unit,
A computer program characterized in that the parameter can be set by the parameter setting means only for a parameter that is determined to be a process that can be reversely processed by the reversible process determination means. A computer program for controlling an image processing apparatus that performs image processing on image data,
Parameter setting means for setting image processing parameters;
Image processing execution means for performing image processing on image data in accordance with the parameters set by the parameter setting means;
A computer program for causing a computer to function as history information setting means for setting history information of the image processing for image data subjected to image processing by the image processing execution means.

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