JP5096993B2 - Color conversion apparatus, color conversion method, and color conversion program - Google Patents

Description

  The present invention relates to a color conversion device, a color conversion method, and a color conversion program for converting colors of electronic images and electronic contents.

  In recent years, the Internet has become widespread due to the development of information and communication equipment, and the types of websites on the Internet have also increased. Website creators often focus on website design to differentiate themselves from other websites and increase the number of viewers. The color scheme is an important element in attracting the viewer's attention. When creating a website, the designer presents several types of color schemes as candidates, and chooses among them.

  There are two types of conventional tools that support designers' color schemes: those that present color scheme candidates for those that are not color schemes at all, and those that present other color schemes for those that are already color schemes. is there. Of these, the former often makes suggestions using knowledge of color coordination, etc., and allows the user to select, while the latter automatically performs conversion based on certain rules for the original colors and other color schemes. (Non-Patent Document 1). The latter type of tool is referred to herein as an automatic color conversion tool.

As a technique related to the present invention, conversion from RGB values to L ^* a ^* b ^* values is described in Non-Patent Document 2, and color attractiveness is described in Non-Patent Document 3, and the degree of attractiveness is described. The calculation is described in Non-Patent Document 4.
“Color Harmonization”, Daniel Cohen-Or, Olga Sorkin, Ran Gal, Tommer Leyvand, Ying-Qing Xu, Proceedings of ACM SIGGRAPH 2006, Volume 25, Issue 3, p. 624-630. Japan Color Research Institute (ed.): “Introduction to Color Science for Color Coordinators”, Nippon Color Research Project (2000), pp. 60-62. Japan Color Society (ed.): "Color Science Handbook", Japan Color Society (1991), pp52. Japan Color Research Institute (ed.): “Introduction to Color Psychology for Color Coordinators”, Nippon Color Research Project (2000).

  However, the conventional automatic color conversion tools often do not support the color arrangement balance of the entire image or the intention of the color arrangement to be conspicuous. For example, when a corporate color is used or when a specific image is conveyed to the viewer by a color scheme, the usable colors are often limited. In addition, many website designs are colored with the intention of making them stand out like link buttons. The conventional automatic color conversion tool has a drawback in that it is difficult to incorporate a designer's viewpoint and intention.

  Also, in recent years, from the viewpoint of “color universal design” which performs color arrangement considering the color appearance of different color vision types, especially when there is a problem that it is difficult to see with certain color vision types such as letters and link buttons, it is aesthetic It is necessary to create other color schemes by finely adjusting the colors while taking into account the side and color harmony. However, with the conventional technology, the colors in the screen are uniformly converted according to a certain rule, so the color that does not need to be changed or the color changes greatly, and the balance of the original color scheme is lost. There was a thing.

  The present invention solves these problems in the prior art, and its purpose is to provide a color conversion device that can present another color scheme without changing the original color scheme as much as possible in consideration of the designer's viewpoint, To provide a color conversion method and a color conversion program.

The color conversion device according to claim 1, wherein the color conversion device performs color conversion of an image, an image acquisition unit that acquires a target image, information on a color category classification criterion, and each color category. A color information analysis database storing information on representative colors of colors and colors analyzed in the image acquired by the image acquisition means and classified into color categories with reference to the color information analysis database An information analysis means, a color category having the largest number of pixels as a background color, a degree of attraction of each color category is calculated based on the brightness of the background color, and a ranking means for determining the rank of the color category according to the degree of attraction; for all colors in the image which has been categorized by color information analysis means, in accordance with order that is determined by the ranking means, a large converted into the lower rank Performing a conversion determining means for weighting the color conversion amount, according to the conversion amount weighted by the conversion determining means, the color conversion to two directions of the positive and negative along a particular perceptual axis such that It is characterized by comprising color conversion means and display means for displaying the result converted by the color conversion means.

The color conversion method according to claim 2 is a color conversion method for performing color conversion of an image, wherein the image acquisition unit acquires the target image, and the color information analysis unit acquires the image by the image acquisition step. A color information analysis step of analyzing color information in the generated image and classifying the information into a color category by referring to a color information analysis database in which information on classification criteria of the color category and information on representative colors of each color category is stored A ranking step in which the ranking means sets the color category having the largest number of pixels as the background color, calculates the attractiveness of each color category based on the brightness of the background color, and determines the ranking of the color category according to the attractiveness; conversion amount determining means, for all colors of the color information analyzing the images categorized by step, determined by the ranking step forward According a conversion amount determining step of ranking for weighting the color conversion amount as a major conversion amount as low, the color conversion means, according to the conversion amount weighted by the conversion amount determining step, the specific sensory shaft The color conversion step for converting colors in two positive and negative directions along the line and the display means include a display step for displaying the result converted by the color conversion step.

The color conversion program according to claim 3 is characterized in that a color conversion program to function as the respective means described computer to claim 1.

  In the above configuration, the amount of conversion is weighted using the amount of change in perceptual characteristics or an arbitrary amount of change with respect to the colors included in the image, and a plurality of conversion results are presented. As a result, it is possible to increase the degree of design freedom and present an unnatural color conversion result.

(1) According to the first to third aspects of the present invention, the conversion amount is weighted by using a change amount of perceptual characteristics or an arbitrary change in the color included in the image. And other color schemes can be presented without changing the design intent. Moreover, since the color which does not perform color conversion can be designated, the freedom degree of design can be raised.
In addition, by converting the color with the conversion amount that is weighted so that the lower the order determined by the degree of attraction, the conversion amount is weighted so that the color that was conspicuous in the original design does not change much and the conversion is inconspicuous Conversion can be performed in accordance with the characteristics of colors, such as increasing the amount.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings, but the present invention is not limited to the following embodiments.

Example 1
The first embodiment of the present invention is implemented as an application that operates independently in a PC (personal computer).

  FIG. 1 shows a main flow of processing in the first embodiment of the color conversion apparatus. First, in step S11, RGB values of all the pixels on the image are acquired for an electronic image file that has already been color-coded. Then, the color space is converted from the RGB values (step S12), and the color of each pixel is classified for each category (color name) (step S13). Then, the categorized colors are ranked according to a certain characteristic, that is, the difference in the degree of conspicuousness (easiness of being noticeable) in the first embodiment (step S14), and the color conversion amount is weighted according to the ranking (step S15). ). Next, color conversion is performed according to the weighted conversion amount (step S16), and the result is displayed (step S17).

  FIG. 2 is a block diagram of a color conversion apparatus that is Embodiment 1 of the present invention. In FIG. 2, the color conversion device 2-1 according to the first embodiment is configured by a computer, for example, and includes an image acquisition unit 2-11 as an image acquisition unit, a color information analysis unit 2-12 as a color information analysis unit, and a color Information analysis database (DB) 2-13, rank calculation unit 2-14 as ranking unit, conversion amount determination unit 2-15 as conversion amount determination unit, color conversion unit 2-16 as color conversion unit, display And a display unit 2-17 as means.

  The image acquisition unit 2-11 acquires the electronic image file 2-2 as described in step S11 in FIG. 1, and the RGB values (red component R, green component G, blue component) are obtained for all pixels in the image. B) is acquired. Also, information on the position on the image is acquired. An example is shown in FIG. Thereafter, the correspondence between the position information and the color information is maintained in all the processes. Information on vertical and horizontal positions and RGB values on the image is sent to the color information analysis unit 2-12.

The color information analysis unit 2-12 performs color space conversion so that the RGB values acquired by the image acquisition unit 2-11 can be roughly classified by color attributes (brightness, vividness, hue) (FIG. 1). Step S12). Here, RGB values are represented by a brightness component (L ^* ) and a color component (a ^* ,) so that they can be expressed by three values of brightness, vividness, and hue, which are generally called three attributes of color. b ^* ) L ^* a ^* b ^* (Elster Aster Baster or LAV) having the three values is converted to the color system. The L ^* value varies in the range of 0 to 100, and the larger the value, the brighter the value. When L ^* = 0, the color is black, and when L ^* = 100, the color is white. The a ^* value representing color changes between red and green, indicating that red is positive for positive values and strong green for negative values. The b ^* value varies between blue and yellow, indicating a yellow value at a positive value and a strong blue color at a negative value. When a ^* = 0 and b ^* = 0, there is no color, that is, gray. As a conversion formula from RGB values to L ^* a ^* b ^* values, a commonly used conversion formula (see Non-Patent Document 2) is used, and description thereof is omitted here. Then, vividness (saturation) and hue (hue) are obtained using the a ^* value and b ^* value. When the saturation value C ^* and the hue angle H ° are obtained, the following equation is obtained.

C ^* = [(a ^* ) ² + (b ^* ) ² ] ^1/2 (1)
H = [180 / π × arctan (b ^* / a ^* )] (2)
When the saturation value C ^* is 0, the color is gray, and the color becomes brighter as the value increases. The hue angle H becomes approximately red at 0 °, changes to yellow, green, blue, and purple, and returns to red after one round. FIG. 3 shows an example in which the RGB value of each pixel on the image is converted into an L ^* value, a C ^* value, and an H value.

Depending on the lightness value L ^* , the saturation value C ^*, and the hue angle H, the color classification is a rough color classification such as “light red”. In this case, the hue is red. Yes, the lightness is high and the saturation is low). The color information analysis unit 2-12 searches the color information analysis database 2-13 for which color category the color on the image belongs to. The color information analysis database 2-13 has information related to category classification criteria. For example, there are 10 types of hue categories of red, orange, yellow, yellow-green, green, blue-green, blue, blue-violet, purple, and magenta, with the hue angle H divided equally from 0 °. There are nine categories from (1) to (9) that combine the lightness into three equal parts and the saturation into three equal parts. For example, a category of “red (1)” applies to a color having a hue angle H of 0 ° to 36 °, a lightness L ^* of 33 to 66, and a vividness of 40 to 80. It is assumed that there are a total of 93 categories including 90 types of color categories obtained by dividing the 10 categories of hues into 9 and 3 categories of white, black, and gray. The color information analysis unit 2-12 classifies the color value of each pixel in the image into each category (step S13 in FIG. 1). In the example of FIG. 3, each pixel is classified into categories such as “blue (1)” and “red (1)”. The information on the position on the image and the information on the category as shown in FIG. 3 are sent to the rank calculation unit 2-14.

The color information analysis database 2-13 has color information (numerical values) representing each category in addition to the category classification standard. Here, the representative color is a color that is an average value of the L ^* value, the C ^* value, and the H value in the category. FIG. 4 shows an example of representative color information of each category that the color information analysis database 2-13 has. The representative color information is used by the rank calculation unit 2-14.

  The rank calculation unit 2-14 does not convert all colors uniformly when converting colors, but selects the color to be converted or changes the conversion amount using the characteristics of the colors. It is the part which ranks for. Here, colors have characteristics that can express various characteristics such as brightness and vividness by numerical values. In the first embodiment, color conversion is performed by using the degree of conspicuousness (attraction) as an example. To do. There is a phenomenon called “color attractiveness” in which the color is easily noticeable with respect to the same background depending on the color of the color (see Non-Patent Document 3). Since the degree of conspicuousness or the order of conspicuousness can be expressed by numerical values, in Example 1, the difference in the degree of attraction is used so that the color that is conspicuous in the original design is not changed so much and is not conspicuous. Let's take the method of converting colors.

  The degree of attraction can be obtained from the value of the representative color acquired from the color information analysis database 2-13. A number of model formulas have been proposed for the calculation of the degree of attraction (see Non-Patent Document 4), and in many model formulas, (1) high brightness and high degree of attraction, (2) high saturation The tendency of high degree of attraction, (3) warm color (red and yellow) and high degree of attraction are consistent. Since the degree of attraction differs depending on the background color, it is necessary to obtain the background color. Here, it is assumed that the color having the largest number of pixels when classified into the above-described categories is set as the background color, and the attractiveness with respect to the brightness is calculated.

The color on the categorized images of the color information analyzing section 2 12, the high conspicuity order position 1, go with a 2-position ... and charts (step S14 in FIG. 1). FIG. 5 shows an example in which the three colors on the image are ranked according to the degree of attraction. Information on this order is sent to the conversion amount determination unit 2-15.

  In the conversion amount determination unit 2-15, the order determined by the rank calculation unit 2-14 is lowered, that is, the conversion amount is increased as the color becomes inconspicuous here (step S15 in FIG. 1). A schematic diagram shows the “weighting of conversion amount” portion of FIG. By performing weighting based on the rank, it is possible to perform conversion in accordance with the characteristics of the color so that the conspicuous color is not converted so much. Here, only information about weighting is determined. It is not necessary to decide what value (lightness, saturation, etc.) to convert. Information regarding weighting is sent to the color conversion unit 2-16.

The color conversion unit 2-16 performs color conversion based on the weighting amount (step S16 in FIG. 1). First, the attribute of the value to be converted is determined. Here, the lightness L ^* value is converted as shown in FIG. For example, it is assumed that the lightness conversion amount is proportional to the rank of the attractiveness (that is, the conversion amount increases as the rank increases). If there are up to N colors on the image and the brightness value is calculated to change by 20 at the maximum, the amount of change in this case is
f = 20 (n−1) / (N−1) (n = 1, 2, 3,..., N) (3)
It can be expressed as In the example of FIG. 5, there are colors up to the third place, the amount of change is 0 for the most attractive red, 10 for the second green, and 20 for the third light blue. Since there are two types of conversion, the positive direction and the negative direction, if one is converted only in the positive direction and the other is converted only in the negative direction, two types of color scheme solutions are generated. If the L ^* value after conversion is less than 0, it is 0, and if it exceeds 100, it is set to 100.

  The color conversion unit 2-16 performs color conversion by adding the conversion amount determined for the representative color to the original pixel color instead of the representative color. Two types of color conversion results are generated by the above method.

In the display unit 2-17, the color conversion solution generated in the color conversion unit 2-16 is converted into RGB values and displayed as an image (step S17 in FIG. 1). Here, parameters such as RGB values and L ^* a ^* b ^* values of the converted color can also be displayed.

In the color information analysis unit 2-13, the RGB value is converted into an L ^* a ^* b ^* value. However, other color spaces may be used as long as the color appearance can be expressed by a numerical value.

  The color information analysis database 2-13 does not necessarily have 93 color categories, and may have different categories by having other category classification criteria. However, it is desirable that the maximum number of categories does not exceed 100.

  The representative color in the color information analysis database 2-13 may not be an average color. For example, a numerical value of a color having a generally famous color name may be applied.

  In the rank calculation unit 2-14, the ranking is performed based on the degree of attraction of the color as an example. However, any other index may be used as long as the index represents the color change quantitatively. For example, the ranking can be performed even when the saturation value changes.

  In the color conversion unit 2-16, the conversion in the lightness direction is performed in the first embodiment. However, not only the lightness but also the saturation direction and the hue direction can be converted by the same method. Therefore, the number of color conversion solutions can be increased depending on which elements are converted and combinations thereof.

  In the color conversion unit 2-16, the color of the original image is converted, but using the categorized information, the representative color of each category that the color information analysis database 2-13 has May be converted.

Also, the RGB values, position information, and L ^* values, C ^* values, H values obtained by converting the color space in the color information analysis unit 2-12 shown in FIG. The classified color category information may be stored in a memory, for example, and used.

(Example 2)
The second embodiment of the present invention is implemented as an application that operates independently in a PC.

  FIG. 6 shows the main flow of processing of the second embodiment. In the first embodiment, the amount of color conversion is determined based on the color characteristic called attractiveness. However, in the second embodiment, a conversion rule and a condition regarding conversion such as a color not to be converted can be designated each time. First, in step S21, the RGB values of all the pixels on the image are acquired for the electronic image file that has already been color-coded. Then, the color space is converted from the RGB values (step S22), and the color of each pixel is classified for each category (color name) (step S23). The specified rules are acquired for the categorized colors (step S24), ranking based on the rules is performed (step S25), and the color conversion amount is weighted according to the ranking (step S26). Next, color conversion is performed according to the weighted conversion amount (step S27), and the result is displayed (step S28).

  FIG. 7 is a block diagram of a color conversion device 7-1 that is Embodiment 2 of the present invention. In FIG. 7, the color conversion device 7-1 according to the second embodiment is configured by a computer, for example, and includes an image acquisition unit 7-11 as an image acquisition unit, a color information analysis unit 7-12 as a color information analysis unit, and a color. Information analysis database 7-13, operation unit 7-14 as a first operation unit, rank calculation unit 7-15 as a ranking unit, conversion amount determination unit 7-16 as a conversion amount determination unit, color conversion unit As a color conversion unit 7-17 and a display unit 7-18 as display means.

  Similar to the image acquisition unit 2-11 of the first embodiment, the image acquisition unit 7-11 acquires the electronic image file 7-2 as described in step S21 of FIG. RGB values (red component R, green component G, blue component B) are acquired. Also, information on the position on the image is acquired. Thereafter, the correspondence between the position information and the color information is maintained in all the processes. Information on vertical and horizontal positions and RGB values on the image is sent to the color information analysis unit 7-12.

The color information analysis unit 7-12 performs color space conversion on the RGB values acquired by the image acquisition unit 7-11 (step S22 in FIG. 6). Here, the RGB value is converted to an L ^* a ^* b ^* (Elster Aster Baster or El Abbe) color system having three values of a brightness component (L ^* ) and a color component (a ^* , b ^* ). Then, the hue angle is obtained. The color space conversion method and the hue angle calculation method are the same as those described in the first embodiment. In the second embodiment, the color value of each pixel in the image is classified into categories divided by hue (step S23 in FIG. 6).

  The color information analysis unit 7-12 searches the color information analysis database 7-13 to determine which color category the color on the image belongs to. The color information analysis database 7-13 has information related to category classification criteria. Here, it is assumed that there are a total of 13 categories in which the hue angle is divided into 10 and white, black, and gray are added. Information about which color category each pixel is classified is sent to the rank calculation unit 7-15.

  Assume that the category classification standard is prepared in advance in the color information analysis database 7-13. The color information analysis database 7-13 also has information on the representative colors of the categories. In the second embodiment, the representative color is the average value of the hue angle, and the lightness and saturation are arbitrary values. The representative color information is also sent to the rank calculation unit 7-15.

  The operation unit 7-14 is a part for selecting and changing the ordering rule in the rank calculating unit 7-15 and the conversion rule regarding the subsequent color conversion, and selecting the color to be converted and the color not to be converted. Here, as an example, it is assumed that red among the hues classified into 10 categories is not subjected to color conversion (conversion amount is 0), and the color conversion amount increases as the hue is different with respect to red. The conversion is performed in the hue direction. The rule information is sent to the rank calculation unit 7-15 (step S24 in FIG. 6).

  The rank calculation unit 7-15, when converting colors, does not convert all the colors uniformly, but selects the color to be converted or changes the conversion amount using the characteristics of the colors. It is the part which ranks for. As an example, a case will be described in which information indicating that the color conversion amount is increased according to how much the hue changes from red is received from the operation unit 7-14. In the rank calculation unit 7-15, ranking is performed from the viewpoint of how far each color in the image is from red (step S25 in FIG. 6). As shown in FIG. 8, when the hue angle H = 0 ° (360 °) is red, the order can be determined according to how much the other hue angle differs from 0 °. When there is the same order as in the example of FIG. 8, it is assumed that the same amount of weighting is performed in the next conversion amount determination unit 7-16. The order information for each color is sent to the conversion amount determination unit 7-16.

  In the conversion amount determination unit 7-16, the order obtained by the rank calculation unit 7-15 is lowered, that is, the color conversion amount is increased as the hue changes from red (step 26 in FIG. 6). ). In the example of FIG. 8, the red conversion amount is 0, and the weighting amount increases as it changes from orange (or magenta) to yellow (or purple). Here, only information about weighting is determined. Information regarding weighting is sent to the color conversion unit 7-17.

The color conversion unit 7-17 performs color conversion based on the weighting amount (step S27 in FIG. 6). First, the attribute of the value to be converted is determined. Here, the hue H value is converted. For example, the hue conversion amount increases as the distance from red increases. If the hue angle is calculated to change by 20 ° at the maximum, the amount of change is
f = H + 20 (n−1) / (N−1) (0 ≦ H <180) (n = 1, 2, 3,..., N) (4)
f = H−20 (n−1) / (N−1) (0 ≦ H <180) (n = 1, 2, 3,..., N) (5)
It can be expressed as H is the hue angle of the original color, N is the number of colors to be converted, and n is a rank determined by the rank calculation unit 7-14 (in the above example, N does not exceed 13). The amount of color conversion increases as the distance from the red color increases, but there are two types of conversion directions, positive and negative, so here one is converted only to the positive direction and the other is converted only to the negative direction. Then, two types of solutions are generated.

  The color conversion unit 7-17 performs color conversion by adding the conversion amount determined for the representative color to the original pixel color instead of the representative color. Two types of color conversion results are generated by the above method.

In the display unit 7-18, the color conversion solution generated in the color conversion unit 7-16 is converted into RGB values and displayed as an image (step S28 in FIG. 6). Here, it is possible to display parameters such as RGB values and L ^* a ^* b ^* values of the converted color.

In the color information analysis unit 7-12, the RGB values are converted into L ^* a ^* b ^* values. However, other color spaces may be used as long as the color appearance can be expressed by numerical values.

  The color information analysis database 7-13 does not necessarily need to have 13 types of color categories, and may have different categories by having other category classification criteria.

  The representative color in the color information analysis database 7-13 may not be the average hue angle. For example, a numerical value of a hue angle of a color having a generally famous color name may be applied.

  In the operation unit 7-14, a color that is not converted can be obtained separately from the conversion rule. For example, in the case of the second embodiment, an operation can be performed in which not only red but also yellow is not changed. In that case, the conversion amount is set to zero.

  In the color conversion unit 7-17, the conversion in the hue direction is performed in the second embodiment. However, not only the hue but also the lightness direction and the saturation method can be converted by the same method. Therefore, the number of color conversion solutions can be increased depending on which elements are converted and combinations thereof.

(Example 3)
The third embodiment of the present invention is implemented as an application that operates independently in a PC.

  In the third embodiment, it is possible to specify all the orders regarding the color conversion amount. It is also possible to specify a color that is not converted. In the processing flow, the RGB values of all the pixels in the image are acquired for the image that has already been color-mixed first (similar to step S11 in FIG. 1 and step S21 in FIG. 6). Next, color space conversion is performed from the RGB values (similar to step S12 in FIG. 1 and step S22 in FIG. 6), and the color of each pixel is classified by category (color name) (step S13 in FIG. 1, FIG. 6 and step S23). Next, for the categorized colors, the color conversion amount is weighted according to the order specified by the operation means (similar to step S15 in FIG. 1 and step S26 in FIG. 6). Next, color conversion is performed according to the weighted conversion amount (similar to step S16 in FIG. 1 and step S27 in FIG. 6), and the result is displayed (similar to step S17 in FIG. 1 and step S28 in FIG. 6).

  FIG. 9 is a block diagram of a color conversion device 9-1 that is Embodiment 3 of the present invention. In FIG. 9, a color conversion device 9-1 according to the third embodiment is configured by a computer, for example, and includes an image acquisition unit 9-11 as an image acquisition unit, a color information analysis unit 9-12 as a color information analysis unit, and a color. Information analysis database 9-13, operation unit 9-14 as a second operation unit included in the ranking unit, conversion amount determination unit 9-15 as a conversion amount determination unit, and color conversion unit 9- as a color conversion unit 16, a display unit 9-17 as display means.

  The image acquisition unit 9-11 acquires an electronic image file 9-2, and acquires RGB values for all pixels in the image. The processing of the image acquisition unit 9-11 and the color information analysis unit 9-12 and the information included in the color information database 9-13 are the same as those in the first embodiment.

  The operation unit 9-14 ranks the color conversion amount. Whether or not the conversion amount is weighted and the weighting order can be determined for all color categories on the image. Information on the weighting is sent to the conversion amount determination unit 9-15.

  In the conversion amount determination unit 9-15, the weighting is determined in accordance with the order of the colors designated by the operation unit 9-14. Assume that the weighting method and amount are the same as those in the first embodiment. At this time, the color determined by the operation unit 9-14 not to perform color conversion is regarded as the first rank and the weight is set to zero. Information regarding weighting is sent to the color conversion unit 9-16.

  The processes of the color conversion unit 9-16 and the display unit 9-17 are the same as those in the first embodiment.

  In addition, a part or all of the functions of each unit in the color conversion apparatus of the present embodiment can be configured by a computer program, and the program can be executed using the computer to realize the present invention. It goes without saying that the procedure in the color conversion method can be constituted by a computer program and the program can be executed by the computer, and the program for realizing the function by the computer can be read by a computer-readable recording medium such as an FD. (Floppy (registered trademark) Disk), MO (Magneto-Optical disk), ROM (Read Only Memory), memory card, CD (Compact Disk) -ROM, DVD (Digital Versatile Disc) ) -ROM, CD-R, CD-RW, HDD, and recorded in a removable disk, storage or can be or distribute. It is also possible to provide the above program through a network such as the Internet or electronic mail.

It is a flowchart which shows the process of the color conversion apparatus in Example 1 of this invention. 1 is a block diagram illustrating a color conversion apparatus according to a first embodiment of the present invention. It is explanatory drawing which shows the example of the color information produced | generated by the image acquisition part and color information analysis part in Example 1 of this invention. It is explanatory drawing which shows the information example of the representative color which the database for color information analysis in Example 1 of this invention has. It is explanatory drawing which showed typically the example of the process in the color information analysis part in Example 1 of this invention, an order | rank calculation part, the conversion amount determination part, and a color conversion part. It is a flowchart which shows the process of the color conversion apparatus in Example 2 of this invention. It is a block diagram which shows the color conversion apparatus in Example 2 of this invention. It is explanatory drawing which showed typically the process of the conversion amount determination part in Example 2 of this invention. It is a block diagram which shows the color conversion apparatus in Example 3 of this invention.

Explanation of symbols

2-1, 7-1, 9-1 ... color conversion device, 2-2, 7-2, 9-2 ... image file, 2-11, 7-11, 9-11 ... image acquisition unit, 2-12 , 7-12, 9-12 ... color information analysis unit, 2-13, 7-13, 9-13 ... color information analysis database, 2-14, 7-15 ... rank calculation unit, 2-15, 7- 16, 9-15 ... conversion amount determination unit, 2-16, 7-17, 9-16 ... color conversion unit, 2-17, 7-18, 9-17 ... display unit. 7-14, 9-14... Operation unit.

Claims (3)

In a color conversion device that performs color conversion of an image,
Image acquisition means for acquiring a target image;
A database for color information analysis in which information on classification criteria of color categories and information on representative colors of each color category are stored;
Analyzing color information in the image acquired by the image acquisition means, color information analysis means for classifying into color categories with reference to the color information analysis database;
A ranking unit that determines the color category having the largest number of pixels as a background color, calculates the degree of attraction of each color category based on the brightness of the background color, and determines the rank of the color category according to the degree of attraction.
A conversion that weights the amount of color conversion so that the lower the order, the larger the amount of conversion for all colors in the image categorized by the color information analysis unit according to the order determined by the ranking unit. A quantity determining means;
Color conversion means for performing color conversion in two positive and negative directions along a specific perceptual axis according to the conversion amount weighted by the conversion amount determination means;
A color conversion apparatus comprising: display means for displaying a result converted by the color conversion means. In a color conversion method for performing color conversion of an image,
An image acquisition step in which the image acquisition means acquires the target image;
The color information analysis means analyzes the color information in the image acquired by the image acquisition step, and refers to the color information analysis database in which information on the classification criteria of the color categories and information on the representative colors of each color category are stored Color information analysis step for classifying into color categories,
A ranking step in which the ranking means sets the color category having the largest number of pixels as the background color, calculates the degree of attraction of each color category based on the brightness of the background color, and determines the order of the color category according to the degree of attraction;
The conversion amount determining means converts the colors so that the lower the rank, the larger the amount of conversion for all the colors in the image categorized by the color information analysis step, according to the rank determined by the ranking step. A conversion amount determination step for weighting the amount;
A color conversion step in which color conversion means performs color conversion in two types of positive and negative directions along a specific perceptual axis according to the conversion amount weighted in the conversion amount determination step;
A color conversion method, wherein the display means comprises a display step for displaying the result converted by the color conversion step.   A color conversion program for causing a computer to function as each means according to claim 1.

Images