JP2009218928A - Image processing apparatus, image processing method, image processing program and image processing storage medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processing apparatus capable of enabling a person with dyschromatopsia to identify, without sensation of incompatibility, the images of a document containing colored characters, graphs, and the like. <P>SOLUTION: An image processing apparatus 10 includes: a color analysis section 11 for analyzing colors contained in input image data; a parameter-holding section 12 for holding color conversion parameters; a color conversion parameter selecting section 13 for selecting any color conversion parameter; and a color conversion section 14 for performing color conversion, by using the color conversion parameter on the input image data. The color conversion parameter selection section 13 includes: a color scheme determining part 13a for determining the color scheme of the input image data and a color scheme set table holding part 13b for holding a color scheme set table, and is configured to select, from among the parameter holding section 12; an optimal color conversion parameter for performing such a color correction that enables a person with dyschromatopsia to easily identify a combination of colors to be used for the input image data, according to the combination of the colors. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to, for example, an image processing apparatus, an image processing method, an image processing program, and an image processing storage medium that perform color correction processing that makes it easy for a weak colorant to identify a color of a color image.

  In recent years, with the development of color image output technology such as display and printing of color images, documents, web pages, etc. (hereinafter referred to as “documents”) created by individuals and companies seem to include various color information. Became. Specifically, in these documents, etc., when the color itself has important information such as using colored characters to call attention or coloring a bar graph or pie graph for each area There are many. Therefore, in order to understand the contents of a document or the like as intended by the creator of the document or the like, in addition to the ability to recognize characters and images, the ability to identify the color difference used in the document or the like is also required.

  Documents and the like using various colors are easy to understand information for the general color sense person, but not necessarily for the color weak person. For example, if a color weak person who is difficult to distinguish between red and green looks at a graph using three colors, red, green, and blue, the graph is composed of two colors, blue and other colors. Sometimes it is judged.

  By the way, according to physiological and medical research on human color vision, there are types of color vision disorders such as yellow-blue blindness and all-color blindness in addition to the red-green color blindness that is difficult to distinguish between red and green as described above. Are known. Recently, CUDO (Color Universal Design Organization) has proposed a new name, not a line drawing of whether color vision is normal or abnormal. Specifically, C type corresponding to conventional color vision normal, P type (strong / weak) and D type (strong / weak) corresponding to conventional red-green color blindness or color weakness, T corresponding to conventional yellow-blue blindness. The type name of color vision such as type A, which is equivalent to conventional color blindness, is called a general color vision person, and a person who has a weaker color recognition person than a general color vision person. Advocated. Therefore, in this specification, the expressions general color blind and color weak are also used.

  Conventionally, various proposals have been made for the purpose of facilitating the identification of colors used in documents and the like (for example, see Patent Documents 1 to 4).

  First, in Patent Document 1, the structural attributes of the color scheme of an image are analyzed, and the color difference on the degenerate surface corresponding to the perceptual space of the color-blind person is greater than or equal to the threshold value, and the general color sense person does not change the color recognition. Thus, a color correction program for correcting colors with reference to a color recognition characteristic database has been proposed.

  Moreover, in patent document 2, when the color of the specific information of a map information database may cause a color blindness, a predetermined change is specified with reference to a color information correction definition database and a specific information content change definition database. A method of printing map information to be added to information has been proposed.

  Further, in Patent Document 3, the display data is classified into those for color / shape conversion and those for which color / shape conversion is not performed, and color / shape conversion is performed based on a conversion table in which predetermined colors and shapes are associated with each other. An image processing apparatus that performs color / shape conversion on display data classified as an object has been proposed.

Further, in Patent Document 4, the electronic document is divided into character information and non-character information, the structural meaning is analyzed to generate structured information, and the user inputs a change request signal, so that the character size, An information processing system for changing design information such as a character color and a background color has been proposed.
JP 2007-293932 A JP 2004-361857 A JP 2004-178513 A JP 2006-309443 A

  However, in the technique disclosed in Patent Document 1, since the color difference threshold value in the degenerate plane is calculated based on the analysis result of the structural attribute of the color scheme, the positional relationship of the color scheme that is difficult to identify, for example, the relationship between the adjacent colors and the background The change result of the change target color is different depending on the relationship with the front character or the like. Therefore, when image data over a plurality of pages such as a document is a color conversion target, there is a problem in that a hue is different between pages, which makes the color weak person feel uncomfortable.

  Moreover, in what is shown in patent document 2, when it corresponds to the case where there is a possibility of causing a color blindness in the specific information content change definition database, the change processing content of the database is applied, the hue change, the image It is configured to perform processing and the like. Therefore, what is disclosed in Patent Document 2 is similar to that disclosed in Patent Document 1, because correction results differ depending on information and background colors that are adjacent to each other. There was a problem of giving.

  On the other hand, in the one disclosed in Patent Document 3, since the information on the difference in color is replaced with the information on the difference in shape, there is no difference in color between pages, but the colored line becomes a broken line, for example. As a result of such a difference in shape, there has been a problem of giving discomfort to color-blind people.

  Further, in the technique disclosed in Patent Document 4, since the user requests a change so that it is easy to see from the user's standpoint, the identifiability of each object in the document is improved. There is a problem that the hue of data differs between pages, and the color is changed ignoring the intention of the creator of the document.

  The present invention has been made in view of the conventional problems, and allows an image processing apparatus, an image processing method, and an image processing program to allow a color weak person to identify an image of a document including colored characters, graphs, and the like without a sense of incongruity. And an image processing storage medium.

  An image processing apparatus according to the present invention includes a parameter holding unit that holds a plurality of color conversion parameters corresponding to the predetermined color combination for performing color conversion that allows a weak colorant to identify a predetermined color combination. A color analysis unit that analyzes a combination of colors included in the input image data, and a color conversion parameter for performing the color conversion is selected from the plurality of color conversion parameters based on an analysis result of the color analysis unit And a color conversion parameter selection unit.

  With this configuration, the image processing apparatus of the present invention performs color conversion for performing color conversion from among a plurality of color conversion parameters corresponding to combinations of colors that are difficult for color-weak persons to identify based on the analysis result of the color analysis unit. Since the parameter is selected, an image of a document including colored characters, graphs, and the like can be identified without a sense of incongruity by the color weak person.

Further, in the image processing apparatus of the present invention, the color conversion parameter selecting means sets an L ^* value that differs by a predetermined value or more from an L ^* value in the CIELAB color space of each color of the predetermined color combination. The color conversion parameter is selected.

  With this configuration, the image processing apparatus of the present invention can identify an image of a document including colored characters, graphs, and the like to a color weak person without a sense of incongruity.

Further, in the image processing apparatus according to the present invention, the color conversion parameter selection means sets the b ^* value that differs by a predetermined value or more from a b ^* value in the CIELAB color space of each color of the predetermined color combination. The color conversion parameter is selected.

  With this configuration, the image processing apparatus of the present invention can identify an image of a document including colored characters, graphs, and the like to a color weak person without a sense of incongruity.

  Furthermore, in the image processing apparatus of the present invention, when the color analysis unit analyzes a combination of colors included in the input image data, an analysis result of a predetermined number of colors excluding white and black is obtained. When the color combination is completed, the analysis of the color combination is completed.

  With this configuration, the image processing apparatus of the present invention can reduce the processing load related to color analysis.

  Furthermore, in the image processing apparatus of the present invention, the color conversion parameter selection unit determines a color arrangement set according to a combination of colors included in the input image data from a plurality of predetermined color arrangement sets. The color arrangement determination unit is for specifying a color arrangement set that includes the most color information included in the analysis result of the color analysis unit, and for outputting a color conversion parameter corresponding to the specified color arrangement set. It has a configuration.

  With this configuration, the image processing apparatus according to the present invention outputs color conversion parameters corresponding to the specified color arrangement set, so that it is possible to identify an image of a document containing colored characters, graphs, and the like without a sense of incongruity. .

  Furthermore, the image processing apparatus of the present invention has a configuration in which the color arrangement determination unit identifies the color arrangement set based on a predetermined number of pieces of color information.

  With this configuration, the image processing apparatus of the present invention can reduce the processing load related to color arrangement determination.

  The image processing method of the present invention includes a step of holding a plurality of color conversion parameters corresponding to the predetermined color combination for performing color conversion that allows a weak colorant to identify a predetermined color combination; Analyzing a combination of colors included in the image data; and selecting a color conversion parameter for performing the color conversion from the plurality of color conversion parameters based on an analysis result of the color combination. It has a configuration.

  With this configuration, the image processing method of the present invention can perform color conversion for performing color conversion from among a plurality of color conversion parameters corresponding to combinations of colors that are difficult for color-weak persons to identify based on the analysis result of the color analysis unit. Since the parameter is selected, an image of a document including colored characters, graphs, and the like can be identified without a sense of incongruity by the color weak person.

  The image processing program of the present invention is a parameter that holds a plurality of color conversion parameters corresponding to the predetermined color combination for performing color conversion for allowing a computer to identify a predetermined color combination to a color weak person. Holding means, color analysis means for analyzing a combination of colors included in the input image data, and color conversion parameters for performing the color conversion from among the plurality of color conversion parameters based on the analysis result of the color analysis means The color conversion parameter selection means for selecting is configured to function.

  With this configuration, the image processing program according to the present invention performs color conversion on a computer from among a plurality of color conversion parameters corresponding to combinations of colors that are difficult for color-weak persons to identify based on the analysis result of the color analysis means. Since the color conversion parameters are selected, it is possible to identify the image of a document including colored characters, graphs, and the like without a sense of incongruity.

  The image processing storage medium of the present invention has a configuration in which an image processing program is stored so as to be readable by a computer.

  With this configuration, the image processing storage medium of the present invention stores the image processing program so that the computer can read the computer. The computer that has read the image processing storage medium can detect the color weak person based on the analysis result of the color analysis means. Select color conversion parameters for color conversion from among multiple color conversion parameters corresponding to difficult-to-recognize color combinations, and allow color-blind people to identify images of colored documents, graphs, etc. without discomfort be able to.

  The present invention provides an image processing apparatus, an image processing method, an image processing program, and an image processing storage medium having an effect of allowing a color weak person to identify an image of a document including colored characters and graphs without a sense of incongruity. Is something that can be done.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

  First, the configuration of the image processing apparatus according to the present embodiment will be described. FIG. 1 is a block diagram showing a configuration of an image processing apparatus according to the present embodiment.

  As shown in FIG. 1, an image processing apparatus 10 according to this embodiment includes a color analysis unit 11 that analyzes colors included in input image data, a parameter holding unit 12 that holds color conversion parameters, and color conversion parameters. A color conversion parameter selection unit 13 to be selected and a color conversion unit 14 that performs color conversion using color conversion parameters on input image data are provided.

  The color analysis unit 11 refers to each pixel value constituting the input image data, for example, RGB (red, green, blue) values, analyzes the colors included in the input image data, and determines what color the input image has. A used color information signal indicating information indicating whether or not a combination (color arrangement) of colors is used is output to the color conversion parameter selection unit 13. The color analysis unit 11 constitutes color analysis means according to the present invention.

  The parameter holding unit 12 is configured to hold a plurality of color conversion parameters for allowing a color weak person to easily identify a preset combination of colors. The parameter holding unit 12 constitutes a parameter holding unit according to the present invention.

  The color conversion parameter selection unit 13 includes a color arrangement determination unit 13 a that determines the color arrangement of the input image data, and a color arrangement set table holding unit 13 b that holds the color arrangement set table. The color conversion parameter selection unit 13 inputs a use color information signal from the color analysis unit 11. In accordance with the combination of colors used in the input image data, an optimum color conversion parameter for performing color correction so that the combination of colors can be easily identified by a weak person is selected from the parameter holding unit 12. ing. The color conversion parameter selection unit 13 constitutes a color conversion parameter selection unit according to the present invention.

  The color conversion unit 14 uses the color conversion parameters received from the color conversion parameter selection unit 13 to convert input image data (for example, RGB value data) to image formation data (for example, CMY (Cyan Magenta) of an image forming unit (not shown). Yellow) value data).

  FIG. 2 is a diagram illustrating a hardware configuration example of the image processing apparatus 10 according to the present embodiment. That is, the image processing apparatus 10 includes a computer 100, a display 110 capable of displaying an image and inputting information by a user, and a printer 120 that outputs a color image. Etc. can be realized.

  The computer 100 includes a CPU 101 that controls the entire apparatus, a RAM 102 that is used as a work area for the CPU 101, a ROM 103 that stores a control program for the CPU 101, a hard disk drive (HDD) 104, a network interface card (NIC). ) 105, a program reading device 106, a mouse 107, and a keyboard 108.

  In the case of the above-described configuration, the CPU 101 can have the functions of the color analysis unit 11, the color arrangement determination unit 13a, and the color conversion unit 14 illustrated in FIG. The functions of the parameter holding unit 12 and the color arrangement set table holding unit 13b can be provided in the RAM 102, the ROM 103, and the HDD 104.

  The image processing program executed by the CPU 101 can be stored in an information recording medium such as a CD-ROM and provided as a software package. When the program reading device 106 reads the program stored in the information recording medium, the CPU 101 executes the image processing program.

  The information recording medium for storing the program is not limited to the CD-ROM, and for example, a ROM, RAM, flash memory, magneto-optical disk, etc. can be used. The program recorded on the recording medium is installed in a storage device such as the HDD 104 incorporated in the hardware system, so that the CPU 101 can execute this program to realize an image processing function.

  Further, the program for realizing the image processing function and the like of the present invention is not only provided in the form of a recording medium, but also provided from a server by communication via a network using the NIC 105, for example. May be.

  Next, the operation of the image processing apparatus 10 in the present embodiment will be described.

  First, the outline of the operation will be described with reference to FIGS. 1 and 3, and then the detailed operation will be described. FIG. 3 is a flowchart showing the operation of the image processing apparatus 10 in the present embodiment.

  First, when the color analysis unit 11 inputs image data (step S11), the analysis of all pixels is completed for the analysis of the color (color arrangement) used in the input image while referring to each pixel of the input image data. It repeats until it does (step S12, S13). Then, the color analysis unit 11 outputs the used color information signal to the color conversion parameter selection unit 13.

  When the color conversion parameter selection unit 13 receives the use color information signal, the color conversion parameter selection unit 13 performs color set determination for determining which of a plurality of predetermined color set is optimum for all color information included in the use color information signal. This is performed (steps S14 and S15).

  Then, the color conversion parameter selection unit 13 selects a color conversion parameter corresponding to the color combination of the color arrangement set determined to be optimal from the parameter holding unit 12 (step S16), and the selected color conversion parameter is input to the color conversion unit 14. Output.

  When the color conversion unit 14 receives the color conversion parameter from the color conversion parameter selection unit 13, the color conversion parameter is used to convert the input image data into the image forming unit, for example, the image forming data of the display 110 or the printer 120 shown in FIG. The image after color conversion is displayed or printed by the image forming unit.

  Next, the operation of the color analysis unit 11 will be described in detail.

  First, the color analysis unit 11 sequentially refers to pixel values that constitute input image data, for example, RGB values. Here, when the referred pixel value is a new pixel value, the color analysis unit 11 holds the pixel value and refers to the pixel value of the next pixel. When the color analysis unit 11 refers to the next pixel value, if the pixel value is the same as the pixel value held in the past, the color analysis unit 11 proceeds to reference to the next pixel value. After the hold, the process proceeds to reference to the next pixel value.

  Specifically, this will be described with reference to Table 1. Table 1 illustrates the relationship between the pixel values (RGB values) from the first pixel to the eighth pixel in the input image data and the pixel values held by the color analysis unit 11.

  First, the color analysis unit 11 refers to the pixel value of the first pixel. At this time, since the color analysis unit 11 does not hold the pixel value, the RGB value of the first pixel is held as a new pixel value. Next, the color analysis unit 11 refers to the pixel value of the second pixel. As shown in Table 1, since the pixel value of the second pixel is the same as the pixel value held when referring to the first pixel, the color analysis unit 11 does not hold the pixel value of the second pixel and does not hold the pixel value of the third pixel. refer. The color analysis unit 11 holds the pixel value of the third pixel because it is a new pixel value, and refers to the fourth pixel. Similarly, the color analysis unit 11 sequentially refers to the pixel values, and the pixel values held up to the eighth pixel are as shown in Table 1.

  As described above, the color analysis unit 11 analyzes the color used in the input image and outputs the finally held pixel value to the color conversion parameter selection unit 13 as a use color information signal.

  In the example shown in Table 1, the color analysis unit 11 also holds the pixel values of white (255, 255, 255) and black (0, 0, 0), but the white and black pixel values are held. It can be omitted. For example, in a document created by a commonly used word processor, spreadsheet, presentation, or the like (hereinafter referred to as “office document”), whatever the color scheme is, the background, border, characters, etc. For example, white and black pixel values may be used, so that white and black pixel values may not be stored.

  Alternatively, the input image data may be divided into regions of the same color, and the median value or average value of the RGB values may be used as a representative value for each region, and the representative value may be held. As a method of dividing the input image data into regions, for example, the region dividing method described in the region dividing chapter on page 689 of the document ““ Image Analysis Handbook ”(published by the University of Tokyo Press)” is known. Can be used. Further, when the input image data is image data such as an office document, it may be divided for each area according to the data structure such as a line, a character, and a figure.

  Furthermore, since color schemes are generally determined in advance for office documents, it is highly possible that the colors used can be predicted with only some of the colors, not all of the colors in the document. Therefore, in order to reduce the processing load, instead of referring to all the pixel values of the input image data, it is used for the input image when the held pixel values reach a predetermined number (for example, 5 sets). The color analysis unit 11 may immediately output the used color information signal to the color conversion parameter selection unit 13 after finishing the analysis of the existing color.

  Next, the operation of the color conversion parameter selection unit 13 will be described.

  When the color arrangement determination unit 13a receives the use color information signal from the color analysis unit 11, the color arrangement determination unit 13a refers to the color arrangement set table holding unit 13b and searches for a color arrangement set corresponding to the combination of colors included in the use color information signal. Then, the color arrangement determination unit 13 a reads out the color conversion parameters corresponding to the color arrangement set from the parameter holding unit 12 and sends them to the color conversion unit 14.

  Here, the operation of the color arrangement determination unit 13a will be described in detail.

  The color arrangement determining unit 13a refers to, for example, a color arrangement set table shown in Table 2 and searches for a color arrangement set close to the color included in the input used color information signal. In the color arrangement set table illustrated in Table 2, RGB values of used colors for each of a plurality of color conversion parameters held in the parameter holding unit 12 are described. Further, in this example, the color arrangement sets a to d are configured by the six colors indicated by the use colors 1 to 6, respectively.

  Specifically, the color arrangement determination unit 13a searches for a color arrangement set as described below. Here, it is assumed that the RGB values of the colors included in the used color information signal are the following values.

(R, G, B): (208, 88, 23) (193, 26, 34) (110, 52, 64) (39, 143, 169) (49, 87, 139) (62, 65, 106)
First, the color arrangement determination unit 13a searches the color arrangement set a for a color that matches the RGB values (208, 88, 23) of the first color. Since there is no data that matches the R value (208) of the RGB values in the color arrangement set a, a matching one is searched for from the color arrangement set b. As a result, the R value (208) of the first color matches the R value of the used color 3 of the color set b, and the G value and B value also match those of the used color 3 of the color set b. The unit 13a determines that the first color is included in the color arrangement set b.

  Subsequently, when the determination of the first color is finished, the color arrangement determination unit 13a searches for a color arrangement set including the RGB values (193, 26, 34) of the second color. At this time, the search is started from the color arrangement set b without searching the color arrangement set a. In this example, the RGB value of the second color matches the used color 2 of the color arrangement set b. Therefore, the color arrangement determination unit 13a determines that the second color is included in the color arrangement set b.

  The color arrangement determination unit 13a repeats the above process, determines that the color arrangement set having the largest number of matching colors corresponds to the combination of colors used in the input image data, and uses color conversion parameters used for color conversion of the input image. Is identified.

  Note that the reason why the color set a is not searched in the search for the RGB value of the second color is that the color of the first color is not included in the color set a because the color is generally determined in advance in office documents. This is because there is a high possibility that the second color is not included in the color arrangement set a.

  In the above example, the search is made for a match with the RGB value included in the used color information signal. However, the present invention is not limited to this, and the RGB value described in the color arrangement set table shown in Table 2 is used. On the other hand, for example, if each value falls within a range of ± 5, it may be determined that they are generally matched, and the color arrangement set having the most matching colors (including matching) may be specified.

  Further, in the same way as the reduction of the processing load in the color analysis unit 11 described above, in consideration of the fact that the color arrangement is generally determined in advance in the office document, only a part of the colors indicated by the use color information signal (for example, In order to reduce the processing load, the color arrangement set may be specified at the time when the 3 to 5 colors) match.

  Next, the color conversion parameter will be described.

  As the color conversion parameter, for example, a table as shown in Table 3 in which output data (CMY values) is associated with input data (RGB values) can be used.

  For example, the input image data is sRGB (standard RGB: an international standard for a color space established by the International Electrotechnical Commission), and the output data is CMY depending on the output device. First, grid points (RGB values are (0, 0, 0) (0, 0, 32) (0, 0, 64) (0, 0, 96)) that divide the input sRGB color space evenly. (255, 255, 224) (255, 255, 255)) is set.

Next, these RGB values are converted into XYZ tristimulus values according to the definition formula of sRGB. Further, it is converted into an L ^* a ^* b ^* value according to the definition of the CIELAB color space. Generally, since the color gamut of an image forming apparatus such as a printer is narrower than the sRGB color space, spatial compression called color gamut mapping is required. For example, a mapping method that minimizes the color difference or The mapping method disclosed in Japanese Patent No. 124648 can be used.

As a result, a table in which the RGB values and the L ^* a ^* b ^* values after color gamut mapping are associated is generated. For example, when creating a color conversion parameter corresponding to the color arrangement set a shown in Table 2, first, eight grid points ((224, 32, 96) (224, 32, 128) surrounding the RGB value of the used color 1) (224, 64, 96)...) And an L ^* a ^* b ^* value are interpolated to calculate an L ^* a ^* b ^* value corresponding to the color 1 used. Similarly, L ^* a ^* b ^* values are obtained for other colors used in the color arrangement set a.

Then, the L ^* a ^* b ^* value among these L ^* a ^* b ^* values is adjusted so that the value of L ^* or b ^* differs by a predetermined value or more (for example, 5 or more) among all the colors used. This adjustment, for example, the greater is the original L ^* value order, may be able to re arrange the color having the largest L ^* value in the order so that the difference in the L ^* value is 5.

For example, when the L ^* a ^* b ^* value is three colors (67, 34, 23) (65, 21, 24) (50, 30, 25), the L ^* value is obtained by comparing the first and second colors. Since the difference between the b ^* value and the b ^* value is small, the value is corrected to a value such as (67, 34, 23) (62, 21, 24) (50, 30, 25) based on the L ^* value of the first color. In this example, three L ^* values of the second color are subtracted, and the L ^* values are similarly applied to the eight lattice points used for the interpolation calculation when calculating the L ^* a ^* b ^* values of the second color. Subtract 3

The above processing is repeated until the L ^* value or b ^* value between all the colors used differs by a predetermined value or more. Then, by converting the finally determined L ^* a ^* b ^* values into CMY values that depend on the image forming apparatus, input RGB values that make it easy for color-blind people to identify predetermined color combinations A correspondence table with output CMY values can be created.

For conversion from L ^* a ^* b ^* values to CMY values, CMY color signals that depend on the image forming apparatus and L ^* a ^* b ^* color signals generated in the CIELAB color space. The inverse function of the function that models the relationship between the image forming apparatus and the input / output model of the image forming apparatus outputs a plurality of CMY color signals depending on the image forming apparatus, which are generated in the CIELAB color space. It is possible to make a function using the color signal in the L ^* a ^* b ^* display system, and for example, a neural network can be used as the function.

  The color conversion unit 14 converts the input image data into output image data depending on the image forming apparatus by interpolation using the color conversion parameters specified as described above, and finally the color conversion is performed by the image forming apparatus. The later image is output.

  As described above, according to the image processing apparatus 10 of the present embodiment, a plurality of combinations of predetermined colors (for example, red and green) prepared in advance according to the combination of colors used for the input color image data. ) Is selected from the color conversion parameters that perform color conversion that is easy for color-weak people to identify, so that the hue does not change between multiple pages for the input image. It is possible to perform minimum color conversion so that weak people can easily identify colors. Therefore, the image processing apparatus 10 according to the present embodiment can allow a color weak person to identify an image of a document including colored characters, graphs, and the like without a sense of incongruity.

  As described above, the image processing apparatus, the image processing method, the image processing program, and the image processing storage medium according to the present invention can identify an image of a document including colored characters, graphs, and the like without a sense of incongruity. It is useful as a color conversion device such as a display, a scanner, a digital camera, a color printer, a color fax, a color hard copy, a color printer software running on a personal computer or a workstation, and the like.

1 is a block diagram showing the configuration of an image processing apparatus according to an embodiment of the present invention. 1 is a block diagram showing a hardware configuration in an embodiment of an image processing apparatus according to the present invention. The flowchart which shows the operation | movement in one Embodiment of the image processing apparatus which concerns on this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Image processing apparatus 11 Color analysis part (color analysis means)
12 Parameter holding unit (parameter holding means)
13 color conversion parameter selection unit (color conversion parameter selection means)
13a Color arrangement determination unit 13b Color arrangement set table holding unit 14 Color conversion unit 100 Computer 101 CPU
102 RAM
103 ROM
104 HDD
105 NIC
106 Program Reader 107 Mouse 108 Keyboard 110 Display 120 Printer

Claims (9)

Parameter holding means for holding a plurality of color conversion parameters in accordance with the predetermined color combination for performing color conversion for identifying a color combination by a color weak person;
Color analysis means for analyzing a combination of colors included in the input image data;
An image processing apparatus comprising: a color conversion parameter selection unit that selects a color conversion parameter for performing the color conversion from among the plurality of color conversion parameters based on an analysis result of the color analysis unit. The color conversion parameter selection means selects a color conversion parameter that has an L ^* value different from a predetermined value by an L ^* value in the CIELAB color space of each color of the predetermined color combination. The image processing apparatus according to claim 1. The color conversion parameter selection means is for selecting the color conversion parameter to be a predetermined value or more different b ^* values for b ^* values for each color CIELAB color space of the combination of predetermined color The image processing apparatus according to claim 1. The color analyzing unit analyzes the color combination when an analysis result of a predetermined number of colors excluding white and black is obtained when analyzing the combination of colors included in the input image data. The image processing apparatus according to claim 1, wherein the image processing apparatus ends. The color conversion parameter selection unit includes a color arrangement determination unit that determines a color arrangement set according to a combination of colors included in the input image data from a plurality of predetermined color arrangement sets.
The color arrangement determination unit is for specifying a color arrangement set that includes the most color information included in the analysis result of the color analysis unit, and outputting a color conversion parameter corresponding to the specified color arrangement set. The image processing apparatus according to any one of claims 1 to 4. The image processing apparatus according to claim 5, wherein the color arrangement determination unit specifies the color arrangement set based on a predetermined number of pieces of color information. A step of holding a plurality of color conversion parameters corresponding to the predetermined color combination for performing color conversion for allowing a color weak person to identify a predetermined color combination; and a combination of colors included in input image data And a step of selecting a color conversion parameter for performing the color conversion from the plurality of color conversion parameters based on an analysis result of the color combination. . Parameter holding means for holding a plurality of color conversion parameters corresponding to the predetermined color combination for performing color conversion that allows the color weak to identify a predetermined color combination;
Color analysis means for analyzing a combination of colors included in the input image data;
An image processing program that functions as a color conversion parameter selection unit that selects a color conversion parameter for performing the color conversion from the plurality of color conversion parameters based on an analysis result of the color analysis unit. An image processing storage medium, wherein the image processing program according to claim 8 is stored so as to be readable by a computer.

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