JP2008244995A - Image processing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processing system capable of reducing differences in color among digital image data acquired by different types of devices (for example, a digital camera, a scanner, etc.). <P>SOLUTION: As an embodiment of the present invention, pieces of machine type information on respective image data are acquired (S200). Based upon the machine type information, it is decided whether there is image data acquired by a different type of device among a plurality of image data to be printed (S203). Then a target image is set (S205), and an object image is set (S206). A suitable color table is selected according to the target image and object image (S207, S208), and based upon the color table, color conversion processing on the object image is performed (S209). <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an image processing system, and more specifically, image processing for making input colors as close as possible between a plurality of digital photographic image data recorded by image input devices having different color processing characteristics depending on models. About the system.

  In recent years, the spread of inexpensive and high-performance image scanners and digital still cameras has made it easy to digitize photographic images. Especially on personal computers (hereinafter referred to as PCs), photographic images can be easily handled as digital image data. Opportunities have increased. Specifically, by using various kinds of application software on a computer, it has become possible to easily perform desired processing and editing processing on photographic digital image data. With such ease and high image quality, opportunities for handling digital image data are increasing.

  On the other hand, full-color hard copy technology is also developing rapidly. Especially, in the printing technology by inkjet method, the image quality of the printed output result is the image quality of silver salt photography by improving the technology to reduce the graininess due to ink dots. Is becoming more than equivalent. Ink jet systems are widely used because of their relatively simple printing technology.

  In recent years, with the increase in the number of models of digital still cameras, there are increasing opportunities to edit image data recorded with different models by a plurality of users. Furthermore, the opportunity to print out the edited image data in an image output device such as an ink jet printer, for example, in the form of a digital album or a combined photograph is increasing.

JP 2003-110868 A

  However, the color creation of digital still cameras often differs between models. In addition, the photographer may shoot with different models. Furthermore, digital image data obtained by optically capturing an image recorded on a paper photograph or film using an image scanner is different from the color recorded by a digital still camera.

  Therefore, although the collected images are recorded in the scene under a similar shooting environment, the color difference between the shooting models appears, which may make the output viewer feel uncomfortable. It was. To solve this problem, for example, when printing multiple images in the same page or folder, there is a mechanism for color matching so as to absorb the difference in color between models without requiring complicated work. It was sought after.

  The present invention has been made in view of such problems, and an object of the present invention is to reduce the difference in color for each digital image data acquired by a different model (for example, a digital camera or a scanner). It is to provide an image processing system.

  In order to achieve such an object, the present invention provides an image processing system for printing an image based on a plurality of image data input by at least two or more models, wherein model information is provided for each of the image data. Based on the model information, a determination unit for determining whether image data acquired from a different model among a plurality of image data to be printed exists, and according to the determination result Means for determining a target model for creating image data as a target for bringing the color of image data acquired from another model closer from the at least two models, and at least two in accordance with the determination result Of the above models, among the models other than the target model, a method for determining a target model for creating image data that is to be approximated to the color of the image data created by the target model. Based on the model information of the determined target model and the model information of the target model, the color of the image data acquired by the target model is brought close to the color of the image data acquired by the target model. A color table selecting unit that selects a color table for color conversion, and a color converting unit that performs color conversion on image data input from the target model based on the selected color table.

  The present invention also provides an image processing system for printing an image based on a plurality of image data input by at least two or more models, the unit for acquiring model information for each of the image data, and the model A plurality of image data to be printed based on the information; a determination unit that determines whether image data acquired from a different model is present; and at least two or more of the data depending on the determination result A means for determining a target model for creating image data that is a target for bringing the color of image data acquired from another model closer to the model, and a target image for color conversion based on the determination result is set according to the determination result. And a color table selecting function based on the determined model information of the target model and the model information of the target model that created the set target image. -Table selection means and color conversion means for color-converting image data input from the target model based on the selected color table, wherein the color table is image data acquired by the target model. Is a table for bringing the color of the image closer to the color of the image data acquired by the target model.

  The present invention is also an image processing system for printing an image on the same print medium or by a print job based on a plurality of image data input by at least two or more models, the image processing system being added to the image data. A means for acquiring model information by analyzing existing shooting information, and whether there is image data acquired from a different model among a plurality of image data to be printed based on the model information. A determination unit for determining, a warning display unit for displaying a warning on a display unit for displaying the image data when it is determined that image data acquired from a different model is present, and a color table Means for determining a target image to be a target of color conversion by means of, and approaching the color of the image data created by the model of the determined target image A means for setting a target image, a color table selection unit for selecting the color table based on the model information of the determined target image and the set target image, and the selected color table. And color conversion means for color-converting image data input from the target model, and the color table acquires the color of the image data acquired by the target model by the target model. It is a table for approximating the color of image data.

  According to the present invention, for example, when images taken with different models are mixed on the same page, an image represented by a color far from the color of the target image is brought close to the color of the digital image to be targeted. This makes it possible to reproduce the output without feeling uncomfortable when browsing a plurality of photographs in the same page.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In the drawings described below, components having the same function are denoted by the same reference numerals, and repeated description thereof is omitted.
(First embodiment)
FIG. 1 is a block diagram illustrating a schematic configuration of an image processing system 100 according to the present embodiment. In the present embodiment, the image processing system 100 prints an image based on a plurality of digital image data input from at least two or more models. The image processing system 100 can also print digital image data input from at least two models on the same print medium or by a print job.
Reference numeral 101 denotes an image input unit that converts an image acquired by photographing with a CCD image sensor or the like into digital image data (also referred to as digitized image data). As an image input device of the image input unit 101, a digital still camera is connected via a predetermined interface (I / F). The image input unit 101 is connected to the system 100 by cable connection, infrared communication, or wireless communication. Image data digitized by the image input unit 101 can be stored in a ROM 105 and a hard disk (HD) 109 described later.

  In the present embodiment, a plurality of image input devices can be connected to the image input unit 101. That is, at least one image input device is connected to the image input unit 101. Further, the image input device connected to the image input unit 101 is not limited to a digital camera. In the present embodiment, it is important that the image processing system 100 acquires digital image data as input image data, and any method of creating the digital image data may be used. For example, a digital image data may be created by reading a photograph or an image with a scanner, and the digital image data may be input to the image processing system 100 by connecting the image input unit 101 of the scanner. Thus, in this embodiment, the image input device is any means that can acquire digital image data by capturing an image with the device and performing image processing such as color conversion, such as a digital camera or a scanner. It may be used.

An operation unit 102 includes a keyboard having various keys for inputting commands or data for instructing various processing operations, a mouse for operating an instruction cursor, and the like.
Reference numeral 103 denotes a CPU that controls the entire system 100 according to various programs stored in the ROM 105 and / or the HD 109 and performs target image data processing. That is, the CPU 103 executes various processing operations such as calculation, control, and determination in accordance with a control program such as processing according to the present embodiment stored in the ROM 105 and / or HD 109 stored therein.
A RAM 104 is used as a work area for various programs stored in the ROM 105 and / or the HD 109 and as a temporary save area during error processing.
The ROM 105 and the HD 109 store various programs for operating the system 100. In addition to the program, the ROM 105 and the HD 109 can store an image file used in this embodiment and a created image file.

  A device for reading recorded data from various recording media such as a floppy (registered trademark) disk drive, an MO drive, a CD drive, and a memory card reader is connected to the reader 106 via an I / F. By connecting a recording medium on which digital image data is recorded by a scanner or digital camera not connected to the system 100 to the reader 106, the digital image data can be taken into the system 100.

  A display unit 107 includes a CRT or a liquid crystal display. The display unit 107 is used to display progress of various programs, images of digital image data, and a user interface necessary for various operations.

  The image data processing unit 108 includes a photographing information analysis unit 108a, a model information holding unit 108b, a different model determination unit 108c, a color table specifying unit 108d, a color table holding unit 108e, and a color conversion processing unit 108f. The image data processing unit 108 is described as a part of the system hardware for convenience of explanation, but may be software that operates by a program stored in the RAM 105 or the HD 109.

A printer 110 forms a dot image based on an image signal subjected to image signal processing for printing. As the printer 110, for example, a serial scan type, line type ink jet printer, electrophotographic printer, thermal head printer, or the like can be applied.
Reference numeral 111 denotes a bus line that transmits an address signal, data, a control signal, and the like in the system 100.

  Note that the image processing system 100 according to the present embodiment may be realized by starting various kinds of software operating on a personal computer, and is not limited thereto, and a part or all of the software is realized by hardware. May be. The image data processing unit 108 may be provided in the image input unit 101 or the printer 110. As described above, by incorporating the image data processing unit 108 into a single device, for example, the processing characteristic of the present invention shown in FIG. 7 can be performed in the image processing device.

First, as an example of how to create a color table, FIG. 2 shows a process flowchart for creating a color table according to the present embodiment.
In this specification, the “color table” refers to a table used to bring the color of digital image data acquired by the target model closer to the color of digital image data acquired by the target model.

  The “target model” is a target that brings the color of the digital image data acquired by the model of another image input device out of the models of a plurality of image input devices (models) connected to the image processing system 100 closer to each other. The model of the image input apparatus which produces the digital image data of the color which becomes.

  The “target model” refers to digital image data acquired by the target model among the models of the image forming apparatus other than the target model among the models of the plurality of image input apparatuses connected to the image processing system 100. This is the input source model for images that you want to be close to the color of the image. Therefore, when there are a plurality of models other than the target model among the models connected to the image processing system 100, each of them is a target model.

  Therefore, the digital image data acquired by the target model is digital image data acquired by performing image processing on an image obtained by an image input device (for example, a digital camera or a scanner) that is the target model. is there. Similarly, the digital image data acquired by the target model is digital image data acquired by performing image processing on an image acquired by the image input device that is the target model.

  FIG. 2 shows a color table creation procedure when the input device A and the input device B, which are different models, are connected as the image input device connected to the image processing system 100.

  For example, a color patch obtained by equally dividing the RGB space is printed out on an output medium by a certain inkjet printer. In the present embodiment, 729 patch image data obtained by dividing each component into nine parts is used.

  The printed output medium is photographed by the input devices A and B (step S100). That is, in step S100, each of the input devices A and B captures the output medium and acquires digital image data based on the image data of the 729 patch. Here, an image acquired by the input device A is called patch image data A, and an image acquired by the input device B is called patch image data B. At this time, the shooting environment such as the light source and the shooting conditions such as exposure are set to be the same.

  Next, the input devices A and B convert the RGB data of the color patches in the acquired patch image data A and B, respectively, into an intermediate color space. As the intermediate color space, for example, XYZ (CIE / XYZ) and L * a * b * (CIE / Lab) defined by the CIE (International Lighting Commission) can be used. Here, it is assumed that the following processing is performed after conversion to Lab (steps S101 and S102).

  The RGB data is defined by the work color space (device RGB) of the input device. For example, in the case of a digital camera, sRGB is often used as a work color space. Here, the RGB data is converted into Lab based on the definition of the work color space (sRGB).

That is, the input device A converts RGB data of all patches in the patch image data A into sRGB in step S101, and calculates Lab data A related to the input device A from the converted sRGB in step S102. Get. Similarly, the input device B calculates and acquires Lab data B related to the input device B from the patch image data B.
Next, the input devices A and B acquired in step S <b> 102 are connected to the image input unit 101, and Lab data A and Lab data B are input to the image processing system 100. This input may be performed via a reader 106 from a recording medium on which Lab data A and B are recorded. In that case, Lab data A and Lab data B may be recorded on the recording medium.

  When acquiring the Lab data A and the Lab data B, the image processing system 100 collates the Lab data A and B. At this time, if the input device B is targeted, a table for converting the hue, saturation, and brightness of the input device A so as to approach the Lab value of the input device B is created. That is, a color table is created. Specifically, for each patch, a conversion definition relating to hue (H), saturation (S), and lightness (L) is created on the basis of the Lab values of the input devices A and B preferentially for patches with a particularly large color difference. (Step S103). Patent Document 1 describes a method for independently converting each element in accordance with the conversion definition relating to hue, saturation, and brightness.

FIG. 3 shows a processing configuration diagram for creating a color table based on the conversion definition in the present embodiment in step S104. In step S104, the image processing system 100 starts with Lab (L ₀ a ₀ b ₀ ) for 4913 points obtained by dividing the 8-bit RGB value (R ₀ G ₀ B ₀ ) of the work color space into 16 levels. (B100). Next, L ₀ a ₀ b ₀ is converted into L ₁ a ₁ b ₁ based on the conversion definition created in step S103 (B101). A color table is created by converting L ₁ a ₁ b ₁ output by this conversion into RGB values (R ₁ G ₁ B ₁ ) of the working color space (B102) and describing R ₁ G ₁ B ₁ To do.

  Through the above steps, a color table that makes the color input from the input device A close to the color input to the input device B is created in advance. The color table created in this way is stored in the ROM 105 and / or the HD 109.

  In the present embodiment, the process of creating Lab data from the patch image data is performed by the input device, but may be performed by the image processing system 100. In this case, after obtaining the patch image data in step S100, the patch image data may be input to the image processing system 100, and steps S101 to S102 may be performed by the image processing system 100.

  FIG. 4 shows a color table group 112 as an example of a format for holding the color table created by the above processing flow. The color table group 112 is created according to the processing procedure shown in FIG. 2 and stored in the ROM 105 or HD 109. BtoA, CtoA, and DtoA in the color table group 112 mean color tables that approximate the colors recorded by the target models B, C, and D to the colors recorded by the target model A, respectively. AtoB, CtoB, and DtoB mean color tables that approximate the colors recorded by the target models A, C, and D to the colors recorded by the target model B, respectively. Similarly, for AtoC, BtoC, and DtoC, the colors recorded by the target models A, B, and D are respectively recorded in the colors that are recorded by the target model C, and for AtoD, BtoD, and CtoD, the colors are recorded by the target models A, B, and C, respectively. This means a color table that brings the color to be recorded close to the color recorded by the target model D.

  An example of the inside of the color table is shown in FIG. The ID number of the target model is written in the first line, and the ID number of the target model is written in the second line. This is to make it possible to easily search for a necessary table based on such information during table search. The output RGB values created in step S104 from the third line are described.

  FIG. 6 shows a correspondence table between photographing models and ID numbers. Based on the correspondence table, model information is described in the first and second rows of the table in association with the ID number. A table is searched and the corresponding color table is designated from the color table group 112 by reading the data in the first and second rows of the color table based on the ID number.

  In this embodiment, the color table can be a color table that describes the correspondence relationship between the models in the RGB color space. Also, in the creation of the conversion definition in step S103, the LAB color space is taken as an example of the intermediate color space. However, the intermediate color space is not limited to the LAB color space, but in the XYZ color space defined by the CIE or the LUV color space. There may be.

  Needless to say, the color patch to be photographed is not limited to the 729 patch. For example, as another method, a chart showing the gradation characteristics of R, G, and B is photographed by the input devices A and B, and input data indicating the gradation characteristics of each RGB channel is acquired in each device. At this time, the following method may be performed as an example of a method of creating a color table without converting RGB into Lab as in the present embodiment. That is, in order to bring the gradation characteristic acquired by the input device A closer to the gradation characteristic acquired by the input device B, the difference of the gradation characteristic value is calculated, and the conversion definition is defined based on the calculated difference value. You may create it.

  FIG. 7 is a flowchart showing the processing operation of the image data processing unit 108. FIG. 8 shows a user interface of an application for realizing this embodiment. The digital image data to be read may be read directly by the image input unit 101 or read by the reader 106. Of course, digital image data read from an image file stored in the ROM 105 or the HD 109 may be used. In this way, the image processing system 100 acquires digital image data as input image data. The processing operation of the image data processing unit 108 will be described below with reference to FIGS.

  In step S200, for example, the shooting information analysis unit 108a analyzes the shooting information from the tag information added to the digital image data acquired by the image processing system 100, thereby acquiring the model information regarding the shooting model.

  In step S201, the model information acquired in step S200 is held in the model information holding unit 108b.

  In step S202, if there is another input image, the image processing system 100 repeats the processes in steps S200 to S202 for the next digital image data. In this way, model information is acquired for each of the input digital image data. If there is no other input image, that is, if the model information for all input digital image data has been retained, the image processing system 100 proceeds to step S203.

  In step S203, the model information determination unit 108c determines whether there are a plurality of shooting models of the input image based on the model information stored in the model information storage unit 108b. That is, the model information determination unit 108c determines whether there is digital image data (input image data) acquired from a different model based on the model information. In FIG. 8, the determination is made by selecting a different model determination button 1005 displayed on the display unit 107 via a predetermined user interface 1000.

Step S204 is executed when there are two or more models as a result of the determination in step S203, that is, when it is determined that there is digital image data acquired from different models. In the present embodiment, a description will be given based on an example in which image data input by four models are mixed.
First, the image processing system 100 displays a warning on the user interface 1000. That is, the image processing system 100 displays a warning on a display unit included in the system. The display is for informing the user that images taken with different models are mixed. The warning display format is such that, for example, the color line blinks in the frame of each thumbnail image, and the pattern or color of the warning frame line differs for each photographing model. In FIG. 8, the warning frames are divided into four patterns for each photographing model. A warning frame is displayed according to the photographing model. Reference numeral 1006 denotes a legend indicating the correspondence between the warning frame line and the model name, and is displayed only for the acquired model. Note that the frame line is not limited to blinking, and may be lit.

  As a modification, FIG. 9 shows an application 1010 that executes this processing for an example in which the color of the warning frame line is different for each photographing model. When the heterogeneous determination button 1015 starts to execute the heterogeneous determination process, frame lines having different colors are displayed on the outer frames of the thumbnail images as indicated by 1011 to 1014. As indicated by the legend 1016, the color of the frame line is There are four types of each.

  In step S205, data of an image (hereinafter referred to as a target image) to be a target of image processing of the present embodiment is selected. For example, the user drags and drops the image 1001 to the target image area 1007 via the user interface 1000 of FIG. As described above, when the image 1001 is dragged and dropped in the target image area 1007, the image processing system 100 recognizes that the image 1001 is selected as the target image, and sets the image 1001 as the target image. That is, the image processing system 100 determines a target image according to the user's selection. By setting the target image in this way, the image input device that created the target image can also be specified, which is equivalent to determining the target model. That is, the target model is determined by setting the target image.

  In the present specification, the “target image” refers to an image that is a target for bringing the colors of other images close to each other in a plurality of images to be printed, and is an image that is a target for color conversion using a color table. That is, it is an image having a color that is desired to be close to the color of an arbitrary image other than the target image among a plurality of images to be printed. This target image input device is the target model.

  In step S206, data of an image to be subjected to color matching processing, that is, data of an image to be subjected to color conversion by the color table (hereinafter referred to as target image) is selected. That is, the digital image data desired to be close to the color of the image selected in step S205 is selected. For example, the images 1002 to 1004 are dragged and dropped onto the target image area 1008 via the user interface 1000 of FIG. As described above, when the images 1002 to 1004 are dragged and dropped in the target image area 1008, the image processing system 100 recognizes that the images 1002 to 1004 are selected as the target images, and targets the images 1002 to 1004. Set to image. That is, the image processing system 100 determines a target image according to the user's selection. By setting the target image in this way, the image input device that created the target image can also be specified, which is equivalent to determining the target model. That is, the target model is determined by setting the target image. The target image is digital image data created by the target model.

  Steps S205 and S206 are not particularly limited to a method of specifying the target image and the target image by dragging and dropping the selected image to the target and target image areas. For example, it may be executed like an application 1100 shown in FIG. A target image designation button 1101 is pressed. A thumbnail image 1102a of an image to be a target image is selected. The target image is designated by the above steps. An image 1102b shows a preview display image of 1102a. A target image designation button 1103 is pressed. Select thumbnail images 1104a to 1106a of images to be the target images. The target image is designated by the above steps.

Images 1104b to 1106b show preview display images of the selected thumbnail images 1104a to 1106a.
If a plurality of thumbnail images to be the target image are selected after the target image designation button 1101 is pressed, an error message is displayed.
In addition, the procedure of selecting an image is performed by pressing a target image designation button 1101 after selecting a thumbnail image 1102a to be a target image and selecting a target image designation button 1103 after selecting thumbnail images 1104a to 1106a to be target images. You may press.
In the present embodiment, the target image is specified after the target image is specified. However, the target image is not particularly limited to this specification order. For example, the target image may be specified after the target image is specified.

  In step S207, based on the model information of the target image selected in step S205 and the model information of the target image selected in step S206, the color table specifying unit 108d specifies the corresponding color table. That is, the color table designating unit 108d designates from the color table group 112 a color table corresponding to the combination of the target image shooting model and the target image shooting model.

  If there is no corresponding color table in the color table group 112, the color table may be acquired via the Web. If not on the Web, a new color table may be created according to the table creation flow of FIG. Alternatively, the processing may be terminated without processing the target image data.

  In step S208, the image processing system 100 acquires the color table specified by the color table specifying unit 108d from the color table group 112, and the color table holding unit 108e holds the acquired color table.

  In step S209, based on the color table held in the color table holding unit 108e, the color conversion processing unit 108f executes color conversion processing of each target image data 1002 to 1004.

  As a result of the above processing, when the target images 1002 to 1004 are shot with a model different from the shooting model of the target image 1001, the target images 1002 to 1004 are respectively filled with the corresponding color table. As a result, the colors of the target images 1002 to 1004 are converted so as to approach the color represented by the target image 1001.

  As described above, in this embodiment, each of a plurality of models is set as a target model, and other models are set as target models, and a color table is created in advance and stored in the ROM 105 or HD 109 in advance. Therefore, when digital image data acquired from each of the plurality of models is output from the image processing system 100, even if the input source of the digital image data to be output is different, the image data for each model is displayed on the image data. The difference in color can be reduced. That is, one of the digital image data to be output is selected as a target image, and the other is selected as a target image. Since a color table that makes the color of the target image close to the color of the target image is selected and color conversion processing is performed according to the color table, even if there is digital image data input from a different model , The difference in color can be reduced.

  In the present embodiment, it is important to correct the difference in color on the data that occurs between different models on the data before printing. For this purpose, a color table created from a plurality of models is prepared in advance, the color table is selected so that the color of the target image approaches the selected target image, and the target is selected according to the selected color table. Color conversion is performed so that the color of the image approaches the color of the target image.

  In the present embodiment, it is not essential to specify a target image and a target image when selecting an appropriate color table. The model of the image input device that is the input source of each image data to be printed may have different color conversion processes for each model, so the same scene is shot for each model. Even when the same printed material is scanned, the colors may be different. In the present invention, it is important to solve this problem, and in order to do so, it is important to relieve the color difference between the models on the data.

  That is, in the present embodiment, it is essential to determine a target target model and bring the digital image data obtained from the target model closer to the color of the digital image data obtained from the target model. Here, the difference in color is caused by the difference in model. Therefore, in the present embodiment, the target image and the target image are selected and an appropriate color table is selected, but this is done by selecting the target model and the target model and selecting an appropriate color table for the combination. Will be.

(Second Embodiment)
In this embodiment, another format of the color table will be described.
In the first embodiment, as shown in FIG. 4, when a color table indicating conversion to each target model is held, a color table for any combination of input models can be selected. The way the number increases is also great.

  If there is a mode based on a color design guideline unified for each model, the number of color tables can be reduced by mediating XYZ and Lab of the color table in the mode. Specifically, a digital still camera that can shoot in the RAW format often has a mode that can be faithfully developed. On the other hand, in the standard mode, digital still cameras that are close to consumers often produce slightly more vivid colors than ordinary high-end cameras. Accordingly, when images taken in the standard mode with a plurality of models are mixedly printed on the same page, a sense of incongruity occurs.

In the present embodiment, color matching between digital still cameras that can be photographed in the RAW format will be described as an example.
The RGB data of the working color space (for example, sRGB) obtained by developing the image data photographed in the RAW format in the standard mode and the faithful mode is converted into Lab.

First, regarding the color patch, the input device A creates Lab ₁ data acquired in the standard mode of the input device A and Lab ₂ data acquired in the faithful mode. Next, the Lab ₁ data and the Lab ₂ data are input to the image processing system 100. As in the first embodiment, the image processing system 100 defines a color conversion definition that brings Lab ₁ closer to Lab ₂ , and a work color space that is acquired in the standard mode of the input device A based on the color conversion definition. A color table indicating the relationship of Lab is created. Further, the image processing system 100 creates a color table for conversion from Lab in the faithful mode to RGB in the working color space obtained in the standard mode based on the color conversion definition that brings Lab ₂ closer to Lab ₁ .

Specifically, in each color patch, a patch having a particularly large color difference is preferentially created based on the values of Lab ₁ and Lab ₂ to create a conversion definition for hue, saturation, and lightness. Similarly, if this procedure is applied to an assumed device, the color table group 200 can be configured in the form shown in FIG.

  For example, when the color of the input device A is brought close to the color of the input device B, first, based on the color table (AtoLab) for converting the RGB value of the input device A into the Lab value, the RGB value of the input device A is converted to Lab. Convert to value. Next, the Lab value output by the conversion is converted by using a color table (LabtoB) for converting the Lab value to the RGB value of the input device B so as to approximate the RGB value of the input device B. In this embodiment, a color table indicating the relationship between RGB and Lab is described. Needless to say, XYZ may be described instead of Lab.

  As shown in FIG. 11, if the number of models is N, (N × N−N) color tables must be held in the first embodiment, but 2 × N color tables in the present embodiment. Can be held. Considering the case where there are 10 models, a total of 90 color tables are required in the first embodiment. However, according to the present embodiment, 20 color tables are sufficient, so the number of color tables is considerably large. It becomes possible to reduce.

  In the present embodiment, a model capable of shooting in the RAW format is taken as an example, but each manufacturer may provide a color table group. In other words, even if the device cannot be stored in the RAW format, if the manufacturer provides the color table, the user can easily obtain the color table via WEB or the like, and color matching can be realized. it can.

  What is important in the present invention is that, when there is image data input from a plurality of models, color differences on the data that occur between different models are corrected on the data before printing. Therefore, it is only necessary to prepare an appropriate color table in advance for the correction and use the color table. The method for obtaining the color table may be created as described above or via the Internet. You can download it. Further, the color table may be obtained by reading the color table from the recording medium on which the color table prepared in advance is recorded via the reader 106 and storing it in the ROM 105 or the HD 109.

(Third embodiment)
In the second embodiment, the color conversion definition has been described as a color table, but this is nothing but the relationship between RGB and an intermediate color space.
Therefore, in this embodiment, if the color table is created in the second embodiment, the color table is created in the ICC profile format and held in each output device. By using the ICC profile, a general CMS (color management system) can be used. For example, ICM is provided as Windows (registered trademark), and ColorSync is provided as OS standard CMS in Mac. For example, when the color of the input device A is brought close to the color of the input device B, an input profile created in AtoLab and an output profile in LabC format are used. By doing so, a general CMS can be used with a reduction in the number of tables.

Alternatively, the Lab value including the conversion definition for the input device B may be described in the input profile, and the output profile may be the output profile of the corresponding output device.
Specifically, the input profile is created according to the processing flow of FIG. 2 as in the first embodiment. Based on the conversion definition for bringing the Lab of the input device A obtained in step S102 closer to the Lab of the input device B, for example, Lab converted from RGB of the working color space sRGB is further converted (L′ a′b ′). ). A table describing L′ a′b ′ associated with RGB values in this way is used as an input profile.

  In the first embodiment, colors existing outside the color reproduction range of the work color space are pasted on the outer frame of the color reproduction range of the work color space. However, by using the profile of this embodiment, in a region where the color gamut of the output device is wider than the color gamut of the work color space, the color that is outside the color gamut of the work color space is the color of the work color space. It is converted to the RGB value of the output device without being attached to the outer frame of the reproduction area. Therefore, the color gamut of the output device can be maximized.

FIG. 12 shows a processing flowchart in the present embodiment.
The image processing system 100 selects an input profile from the color table group that holds the input profile (step S210). The image processing system 100 searches for an output profile from the color table group (step S211), and if an output profile exists, selects the output profile (step S212). Next, the image processing system 100 executes CMS based on the selected input / output profile (step S214).

  If the output profile of the corresponding output device does not exist in step S211, the image processing system 100 selects an output profile for conversion from Lab to RGB values in the work color space (step S213). Next, the image processing system 100 performs color conversion according to the selected input / output profile (step S214), and sends the RGB value of the working color space output in step S214 to the color processing flow of a general output device. In this embodiment, a color table indicating the relationship between RGB and Lab is described. Needless to say, XYZ may be described instead of Lab.

(Fourth embodiment)
In this embodiment, an example of a warning display method will be described.
In addition to the first embodiment, when there are a plurality of input image models, as an example of prompting the user to warn, as a result of the different model determination process, when there are a plurality of input image models, the stored model information Based on this, the model name may be displayed at the bottom of the thumbnail image. This embodiment is also based on an example in which digital image data input by a plurality of models is mixed, as in the first embodiment. FIG. 13 shows an application 2100 that executes the processing steps of this embodiment. When the heterogeneous determination button 2101 starts the heterogeneous determination process, the image processing system 100 displays the model name below the thumbnail images of all input images.

(Fifth embodiment)
In addition to the fourth embodiment, a method of displaying the model name of the thumbnail image may be executed by the following steps.
The input model name may be displayed in a pop-up when the pointer that moves the display position on the display unit screen is moved closer to the thumbnail display image area of the input image data by the user operating the pointing device.

  FIG. 14 shows an application 2200 that executes the processing steps of this embodiment. In the present embodiment, when there are a plurality of input image models as a result of the different model determination process started by the different model determination button 2201, the following processing is performed. That is, when the user brings the pointer 2202 close to the thumbnail image, the image processing system 100 displays the model name of the thumbnail image closest to the pointer 2202 as a pop-up display 2203.

  In addition, if there are multiple input image models as a result of the heterogeneous model determination process, a message such as “There are multiple input image models” is displayed in a separate window in order to convey the results more clearly to the user. May be.

(Sixth embodiment)
In the present embodiment, a method for displaying a selected image will be described.
In the present embodiment, as for the method for displaying the selected image, for example, the color of the peripheral portion of the selected thumbnail image may be changed. In FIG. 15, the periphery of the unselected thumbnail image is white, but the color around the selected thumbnail image changes to gray. At this time, in order to distinguish between the target image and the target image, the color around the thumbnail image after being selected as the target image may be different from the color around the thumbnail image selected as the target image. For example, as shown in FIG. 15, the colors of the selected thumbnail image 3002 selected as the target image and the selected thumbnail images 3004 to 3006 selected as the target image may be changed.
That is, in this embodiment, the background color around the thumbnail display image of the selected digital image data is changed.

  The display method of the selected image is not limited to the above method. As another method, for example, the selected thumbnail image may be grayed out. FIG. 16 shows an example in which the selected thumbnail image 3102 is grayed out in the application 3100. Execution of the display method makes it easy to identify an unselected image and a selected image.

(Seventh embodiment)
Further, the selected thumbnail image may be deleted. By erasing the selected thumbnail image, only the unselected image is displayed on the application. For this reason, the user can concentrate on the unselected images.

  This embodiment will be described with reference to FIGS. 17 (a) and 17 (b). The application 3300 includes a target image designation button 3301, a selected image deletion button 3302, and a target image designation button 3303. Of the input image data, thumbnail images 3304 to 3312 are displayed on the application 3300. Among the thumbnail images, the user selects 3304 as a target image and 3308 to 3310 as target images (FIG. 17A). When the selected image deletion button 3302 is pressed by the user, the image processing system 100 executes processing for deleting the selected thumbnail images 3304 and 3308 to 3310. Then, the display positions of the unselected images 3305 to 3307, 3131 to 1312 are shifted in order to fill the space vacated by the erasure (FIG. 17B). Due to the shift, thumbnail images 3313 to 3316 that are not displayed unless scrolling is performed in FIG. 17A are newly displayed in FIG.

As described above, by deleting the selected thumbnail image, the user can concentrate on checking only the unselected images displayed on the application.
Note that the erasing procedure is not limited to the step of erasing the thumbnail image every time an arbitrary number of images is selected as in the present embodiment. For example, the thumbnail image may be erased every time one image is selected.

(Eighth embodiment)
In this embodiment, a method for selecting a target model will be described.
In the first embodiment, the target model is determined by selecting a thumbnail image, but the target model may be selected instead of the thumbnail image. Selecting a target model means that, for example, a user who wants to match all input images with the latest model, a high-end model, or a color input according to the user's own model, in accordance with the idea There is an advantage that the application can be operated.

  FIG. 18 shows a user interface of an application for realizing the present embodiment. When the user selects a target model selection box 4006 on the user interface 4000, the image processing system 100 displays a model name list. The user selects a target model from the model name list. The target model selection box 4006 is not limited to the combo box format as in the present embodiment, and may be selected from a radio button or may be manually input in a text box.

  The model name list can be a model name list attached to the application of the present embodiment in advance. Alternatively, the model name list may be created as needed based on the model information acquired by executing the different model determination button 4005.

  In the present embodiment, the target model is selected by the user selecting a target model from the model name list displayed in the target model selection box 4006. That is, according to the selection by the user, the image processing system 100 sets a target model according to the selection. Next, when the user selects thumbnail images 4002 to 4004 as target images, the image processing system 100 sets the selected thumbnail images 4002 to 4004 as target images.

  As described above, according to the present embodiment, by selecting a target model from the model name list on the target model selection box, it is necessary to search for an image input by the target model, particularly for a user who has determined the target model in advance. Because there is no, you can easily operate the application.

  Further, the target model may be selected without being limited to the selection of the target model. FIG. 19 shows an application 4100 for selecting a target and a target model.

  Since a target model selection box 4101, a target model selection box 4102, and a plurality of target models may be selected, a target model list box 4103 is separately provided. The target model selected by the target model selection box 4102 is accumulated and displayed on the selection target model list box 4103.

  When the user executes the OK button 4104, the image processing system 100 designates the digital image data input according to the selected target and target model as the target and target image, respectively, and steps S207 to S209 of the first embodiment are performed. Similar processing is performed. When the user executes the Cancel button 4105, the image processing system 100 cancels the selection target model list displayed on the selection target model list box 4103.

  By selecting the target and target model from the model name list on the selection box as in the present embodiment, there is no need to display thumbnails for searching for images, so that the application UI can be simplified.

(Ninth embodiment)
In this embodiment, a method for obtaining a color table will be described.
In the first embodiment, the color table is searched and acquired from a storage device such as the ROM 105 or the HD 109. However, if all the color tables are held in the storage device as in the above-described embodiment, it may be necessary to increase the storage device as the number of color tables increases, but by always obtaining the color table from the Web server. There is no need to add a storage device. Therefore, the present invention is not limited to the above method, and for example, the color table may always be acquired from the Web via the network. Hereinafter, only processing means different from the first embodiment will be described.

  FIG. 20 is a block diagram showing a configuration of the present embodiment, and FIG. 21 shows a processing flow. The image processing system 500 includes a network IF unit 501 inside the image processing system 100 of the first embodiment. The image processing system 500 accesses the Web server 503 serving as a table management apparatus via the network IF unit 501 and the network 502. As an example, the color table group 505 stores a color table for approximating the color of each target model to the color of the target model.

  A specific embodiment will be described. First, the image processing system 500 acquires model information of each of the target image and the target image by the same method as in the first embodiment. Next, based on the model ID (FIG. 6) corresponding to the model information, the network IF unit 501 sets a color table acquisition destination address (step S300). The set address indicates the address of the color table corresponding to the model ID existing in the color table group 505 of the Web server 503. By accessing the address, the image processing system 500 can automatically access the corresponding color table. That is, the user can easily obtain (download) the color table.

  The image processing system 500 accesses the Web server 503 via the network 502 (step S301). The color table selection unit 504 selects a color table corresponding to the model ID according to the address received from the network IF unit 501 (step S302). That is, the color table corresponding to the model ID is searched. The image processing system 500 downloads the selected color table via the network 502 (step S303), whereby the image processing system 500 acquires and holds a desired color table (step S304). Note that the entire process illustrated in FIG. 21 is referred to as a process “A” in order to facilitate description of an embodiment described later.

Through the above steps, the image processing system 500 acquires the color table corresponding to the combination of the model information or target model of the target image and the model information or target model of the target image from the Web server. If all the color tables are held in the storage device as in the above-described embodiment, it may be necessary to increase the storage device. However, by always obtaining the color table from the Web server, it is necessary to increase the storage device. No.
The network 502 may be of any type as long as it corresponds to a communication procedure in a Web environment such as a LAN, the Internet, and wireless.

(Tenth embodiment)
In the ninth embodiment, in the step of selecting a color table, the Web server is always accessed via the network and downloaded from the Web (on the network). However, the acquisition destination of the color table is limited to the above example. do not do. FIG. 22 is a block diagram showing a configuration of the present embodiment, and FIG. 23 shows a processing flow in the present embodiment.

  In FIG. 22, a database server 513 is constructed and connected in advance as a network 512 to the image processing system 510 according to the present embodiment via a LAN connection. In addition, a Web server 514 is connected to the image processing system 510 via a network 512 such as the Internet.

  The image processing system 510 accesses the database 513 and the Web server 514 via the network IF unit 511 and the network 512. The Web server 514, the color table selection unit 515, and the color table group 516 correspond to the Web server 503, the color table selection unit 504, and the color table group 505 of the ninth embodiment, respectively, and detailed description thereof is omitted.

  For example, a database server as a local server is constructed in advance by the LAN connection with the image processing system according to the present embodiment. First, the image processing system 510 accesses the database 513 (step S310). Next, the image processing system 510 searches the color table stored in the database 513 for a color table for converting the target model to the target model (step S311). If the color table to be obtained exists as a result of the search, the image processing system 510 selects and acquires it from the database 513 and holds it (steps S312, 313). If the desired color table does not exist, the image processing system 510 accesses the Web server 514 and acquires the color table according to the process “A” described in FIG.

(Eleventh embodiment)
In the step of downloading the color table from the Web (on the network), if a rare input model is a target or target image model, the user will have very few opportunities to select a related color table in the future. it is conceivable that. Therefore, even if it accumulates in the database, it only consumes the capacity of the storage device. For this reason, in the present embodiment, a step of selecting whether or not to accumulate in the database is provided when the color table is acquired. By executing this step, the color table related to the input model that the user has decided not to handle in the future except this time can be used for current color conversion without being stored in the database. it can.

FIG. 24 shows a processing flow according to the present embodiment.
The image processing system 510 accesses the database 513 (step S320). Next, the image processing system 510 searches for a color table for converting the target model to the target model from the color tables stored on the database 513 (step S321). If there is a color table to be obtained as a result of the search, the image processing system 510 selects and acquires it from the database 513 (steps S322 to S324). If the desired color table does not exist, the image processing system 510 accesses the Web server 514 and acquires the color table according to the process “A” described in FIG.

  The image processing system 510 determines whether or not to store the color table held by the process “A” in the database 513 (step S325). For example, a message window “Do you want to save the color table?” Is displayed so that the user can determine whether or not to accumulate the color table. If the user instructs not to save the color table, that is, if the color table is not stored, the image processing system 510 ends the processing. In the case of accumulation, the image processing system 510 accumulates the color table acquired in the process “A” in the database 513 (step S326).

(Other embodiments of the present invention)
The present invention may be applied to a system composed of a plurality of devices or an apparatus composed of a single device.
The image input apparatus according to the present invention is not limited to a digital still camera, and may be applied to an image input device such as an image scanner.

  The processing method for storing the program for operating the configuration of the above-described embodiment so as to realize the function of the above-described embodiment in a storage medium, reading the program stored in the storage medium as a code, and executing the program on the computer is also described above. It is included in the category of the embodiment. In addition to the storage medium storing the above program, the program itself is included in the above embodiment.

  As such a storage medium, for example, a floppy (registered trademark) disk, a hard disk, an optical disk, a magneto-optical disk, a CD-ROM, a magnetic tape, a nonvolatile memory card, and a ROM can be used.

  In addition, the processing is not limited to the single program stored in the above-described storage medium, but operates on the OS in cooperation with other software and expansion board functions to execute the operations of the above-described embodiments. This is also included in the category of the embodiment described above.

1 is a block diagram of a schematic configuration of an image processing system according to an embodiment of the present invention. It is a process flowchart of the color table preparation means which concerns on one Embodiment of this invention. It is a processing block diagram of the color table creation process which concerns on one Embodiment of this invention. It is a figure which shows an example of the color table group which concerns on one Embodiment of this invention. It is a figure which shows an example of the form of the color table which concerns on one Embodiment of this invention. It is a figure which shows an example of the conversion table of the image input model which concerns on one Embodiment of this invention, and ID number. It is a process flowchart of the image data processing part which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows the modification of the warning display method of the application which concerns on one Embodiment of this invention. It is a figure which shows the modification of the image selection procedure of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the color table group which concerns on one Embodiment of this invention. It is a processing flowchart concerning one embodiment of the present invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. (A) And (b) is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a figure which shows an example of the application which concerns on one Embodiment of this invention. It is a block diagram of the color table selection step according to an embodiment of the present invention. It is a process flowchart of the color table selection step which concerns on one Embodiment of this invention. It is a block diagram of the color table selection step according to an embodiment of the present invention. It is a process flowchart of the color table selection step which concerns on one Embodiment of this invention. It is a processing flowchart concerning one embodiment of the present invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Image processing system 101 Image input part 102 Operation part 103 CPU
104 RAM
105 ROM
106 Reader unit 107 Display unit 108 Image data processing unit 109 HD
110 Printer 111 Bus line 112 Color table group 1000 Application UI
1001 Target image 1002 Target image 1
1003 Target image 2
1004 Target image 3
1005 Heterogeneous type determination button 1006 Warning frame legend 1007 Target image area 1008 Target image area 1100 Application UI
1101 Target image designation button 1102a Selected thumbnail image (target image)
1102b Preview image (target image)
1103 Target image designation button 1104a Selected thumbnail image (target image)
1104b Preview image (target image)
1105a Selected thumbnail image (target image)
1105b Preview image (target image)
1106a Selected thumbnail image (target image)
1106b Preview image (target image)
200 Color table group 2000 Application UI
2001 Target image 2002 Target image 1
2003 Target image 2
2004 Target image 3
2005 Different model judgment button 2006 Warning display legend 2100 Application UI
2101 Heterogeneous model determination button 2200 Application UI
2201 Heterogeneous model determination button 2202 Pointer 2203 Pop-up display 3000 Application UI
3001 Target image designation button 3002 Selected thumbnail image (target image)
3003 Target image designation button 3004 Selected thumbnail image (target image)
3005 Selected thumbnail image (target image)
3006 Selected thumbnail image (target image)
3100 Application UI
3101 Target image designation button 3102 Selected thumbnail image 3103 Target image designation button 3200 Application UI
3201 Target image designation button 3202 Selected thumbnail image 3203 Target image designation buttons 3204 to 3212 Thumbnail image 3300 Application UI
3301 Target image designation button 3302 Selected image deletion button 3303 Target image designation button 3304, 3308 to 3310 Selection thumbnail image 3305 to 3307 Thumbnail image 3311 to 1316 Thumbnail image 4000 Application UI
4005 Different model determination button 4006 Target model selection box 4007 Warning display legend 4100 Application UI
4101 Target model selection box 4102 Target model selection box 4103 Target model selection list box 4104 OK button 4105 Cancel button 500 Image processing system 501 Network interface 502 Network 503 WEB server 504 Color table selection unit 505 Color table group 510 Image processing system 511 Network interface 512 Network 513 Local Database Server 514 WEB Server 515 Color Table Selection Unit 516 Color Table Group

Claims (26)

An image processing system for printing an image based on a plurality of image data input by at least two models,
Means for obtaining model information for each of the image data;
Based on the model information, among the plurality of image data to be printed, determination means for determining whether there is image data acquired from a different model,
Means for determining a target model for creating image data that is a target for bringing the color of image data acquired from another model closer from the at least two models according to the determination result;
Means for determining a target model for creating image data to be brought close to the color of the image data created by the target model, out of models other than the target model, from at least two models according to the determination result When,
Based on the model information of the determined target model and the model information of the target model, the color of the image data acquired by the target model is brought close to the color of the image data acquired by the target model Color table selection means for selecting a color table;
An image processing system comprising: color conversion means for color-converting image data input from the target model based on the selected color table. Further comprising setting means for setting a target image and a target image for color conversion by the color table;
The target image is image data created with the target model, and the target image is image data created with the target model,
The image processing system according to claim 1, wherein the target model is determined by setting the target image, and the target model is determined by setting the target image. Setting means for setting a target image for color conversion by the color table;
The image processing system according to claim 1, wherein the target model is determined by setting the target image.   4. The color table according to claim 1, wherein the color table is created in advance so that a color input from one model approaches a color input from another model according to a combination of a plurality of models. The image processing system according to any one of the above.   5. The image processing system according to claim 1, wherein the model information acquisition unit acquires the model information by analyzing shooting information added to the image data.   The apparatus according to claim 1, further comprising a warning display unit that displays a warning on a display unit that displays the image data when it is determined that there is image data acquired from a different model as a result of the determination by the determination unit. The image processing system according to any one of 1 to 5.   The color table is a table that approximates the color of image data created by the target model to the color of image data created by the target model by converting hue, saturation, and brightness. An image processing system according to any one of claims 1 to 6.   The image processing system according to claim 1, wherein the color table is a color table that describes a correspondence relationship between models in an RGB color space.   The color table is a color table that describes a relationship with any one of a LAB color space, an XYZ color space, and an LUV color space defined by CIE. An image processing system according to any one of the above.   The image processing system according to claim 1, wherein the color table is created as a profile in an ICC profile format, and the created profile is applied to a color management system.   7. The image processing system according to claim 6, wherein the warning display means displays different types of frame lines depending on the model around the thumbnail display image area of the image data.   The image according to claim 6, wherein the warning display unit displays a frame line having a different color depending on a model or a frame line having a different type depending on a model around a thumbnail display image area of the image data. Processing system.   The image processing system according to claim 6, wherein the warning display unit displays a model name around a thumbnail display image area of the image data.   The warning display means pops up an input model name when a pointer that moves the display position on the display unit screen by a pointing device operation is brought close to the thumbnail display image area of the image data. The image processing system according to claim 6.   The image processing system according to claim 2, wherein the setting unit changes a background color around the thumbnail display image of the selected image data.   The setting means makes the background color around the thumbnail display image of the image data selected as the target image different from the background color around the thumbnail display image of the input image data selected as the target image. The image processing system according to claim 2, wherein:   The image processing system according to claim 2, wherein the setting unit grays out a thumbnail display image of the selected image data.   The image processing system according to claim 2, wherein the setting unit deletes a thumbnail display image of the selected image data. Determining means for determining a target image for color conversion by the color table and the target model according to the determination result;
Color table selection means for selecting the color table based on the model information of the determined target image and the model information of the target model;
The image processing system according to claim 1, further comprising: a color conversion unit configured to perform color conversion on all target images of the determined target model based on the selected color table. An image processing system for printing an image based on a plurality of image data input by at least two models,
Means for obtaining model information for each of the image data;
Based on the model information, among the plurality of image data to be printed, determination means for determining whether there is image data acquired from a different model,
Means for determining a target model for creating image data that is a target for bringing the color of image data acquired from another model closer from the at least two models according to the determination result;
Means for setting a target image for color conversion using a color table according to the determination result;
Color table selection means for selecting a color table based on the model information of the determined target model and the model information of the target model that created the set target image;
Color conversion means for color-converting image data input from the target model based on the selected color table;
The image processing system, wherein the color table is a table for bringing the color of image data acquired by the target model closer to the color of image data acquired by the target model.   21. The image processing system according to claim 1, wherein the color conversion unit performs color conversion on all target images of the target model based on the selected color table. The color table selection means includes
Means for accessing the table management device via a network and searching for the color table;
The image processing system according to claim 1, further comprising: a unit that downloads the color table. A local server configured with a database for storing the color table;
The color table selection means includes
Means for searching the color table in the database;
The result of searching for the color table, if the color table exists in the database, means for obtaining the color table from the database. The image processing system described.   The color table selecting means comprises means for downloading from the network via a network if the color table does not exist in the database as a result of searching the color table from the database. The image processing system according to claim 23.   25. The image according to claim 24, wherein the means for downloading the color table from the network selects whether to store the color table in the database when acquiring the color table. Processing system. An image processing system for printing an image on the same print medium or by a print job based on a plurality of image data input by at least two or more models,
Means for obtaining model information by analyzing shooting information added to the image data;
A determination means for determining whether image data acquired from a different model among a plurality of image data to be printed exists based on the model information;
As a result of the determination, when it is determined that there is image data acquired from a different model, a warning display unit that displays a warning on a display unit that displays the image data;
Means for determining a target image to be a target of color conversion by a color table;
Means for setting a target image that should be close to the color of the image data created by the determined shooting model of the target image;
Color table selection means for selecting the color table based on the model information of the determined target image and the set target image;
Color conversion means for color-converting image data input from the target model based on the selected color table;
The image processing system, wherein the color table is a table for bringing the color of image data acquired by the target model closer to the color of image data acquired by the target model.

Images