JP3618338B2 - Color conversion apparatus and color conversion method - Google Patents

Description

  The present invention relates to a color conversion device used for an image display device capable of adjusting and displaying a color image for each specific color component, and in particular based on color conversion characteristics designated by a user. The present invention relates to a color conversion apparatus that performs color conversion processing.

A method for adjusting color reproduction characteristics in a conventional image display apparatus will be described with reference to FIG.
FIG. 22 illustrates an example of an operation unit in adjusting color reproduction characteristics in a conventional image display apparatus. In FIG. 22, 101 is a red signal intensity setting means, 102 is a green signal intensity setting means, and 103 is a blue signal intensity setting means. In FIG. 22, the user uses the red signal intensity setting unit 101, the green signal intensity setting unit 102, and the blue signal intensity setting unit 103 to adjust the signal intensity of the three colors red, green, and blue. For example, when the signal strengths of green and blue are reduced, an image with an overall increase in redness is displayed.

  However, in the image display device provided with the adjusting means as described above, the signal intensity of the three colors of red, green, and blue can be adjusted for all the colors in the image, and only the color that the user wants to adjust Cannot be adjusted.

  On the other hand, Japanese Patent Application Laid-Open No. 5-48885 discloses a method for adjusting different types of color images. In the image adjustment method disclosed in Japanese Patent Laid-Open No. 5-48885, an image output from a hard copy device is simulated and displayed on an image display device, and a hard copy device is viewed while viewing a simulated image displayed on the image display device. However, the concept of the image adjustment method can also be applied to an image display apparatus.

  FIG. 23 is a diagram illustrating the configuration of an apparatus using the image adjustment method disclosed in Japanese Patent Laid-Open No. 5-48885. 23, 104 is a keyboard, 105 is a mouse, 106 is an input means, 107 is a control unit, 108 is an input circuit, 109 is a memory, 110 is a CPU, 111 is an output circuit, 112 is an image display unit, and 113 is an original image. , 114 are processed images, 115 is a setting parameter, and 116 is a hard copy device. The keyboard 104 and the mouse 105 are both examples of the input unit 106. The control unit 107 includes an input circuit 108 connected to the input unit 106, a memory 109, a CPU 110, and an output circuit 111. The image display unit 112 is driven by the output circuit 111. The operation of the apparatus using the image adjustment method of FIG. 23 will be described below.

The memory 109 stores a color conversion simulation program. The CPU 110 executes a program stored in the memory 109.
First, image data used in a color conversion simulation is input. The read image data is displayed as an original image 113 on the screen of the image display unit 112. Next, processing contents are input using the input means 106, and color conversion performed by the hard copy device 116 is simulated for the image data read according to the designated processing contents. The color-processed processed image 114 is displayed on the screen of the image display device 112 simultaneously with the original image 113. When the color change parameter change amount can be changed step by step, processed images that change little by little are displayed side by side as shown in FIG. An optimum parameter is determined by selecting a processed image having a color closest to the original image 113 from among them. When determining a plurality of color conversion parameters, the same operation is repeated to determine them in order. The determined color conversion parameter is transferred to the hard copy device.

  In the apparatus using the image adjustment method described above, color conversion is simulated by selecting the optimum processed image from a plurality of processed images by simulating color conversion according to the processing content designated by the input means 106. Therefore, there is a degree of freedom of adjustment according to the type of color conversion parameter that can be set, and there is an advantage that the degree of freedom of adjustment is higher than when only the signal strengths of three colors of red, green, and blue are adjusted. is there. In addition, there is an advantage that the user can easily determine the parameters.

However, since this color adjustment method uses a simulation by the CPU, if the accuracy of the simulation to be performed is low, there is a problem that the parameter to be determined is not necessarily the optimum parameter, and in order to perform the simulation, A large load is applied to the CPU. In addition, since the simulation by the CPU is used, there is a problem that the moving image is not suitable for real-time processing due to a problem of processing speed.
In the case where a plurality of processed images are displayed side by side, it is necessary to execute the same number of simulations as the number of processed images to be arranged, which further increases the load on the CPU and the processing speed. Further, when a plurality of processed images are displayed side by side, the size of the displayed processed image is reduced, and there is a problem that an impression different from an image output after parameter determination is easily received.

  In the conventional method for adjusting color reproduction characteristics in an image display device, color conversion is performed by executing a simulation program stored in a memory. Therefore, the user cannot specify and adjust a specific color component. There was a problem. In addition, when the color conversion is simulated by the CPU, there is a problem that the parameter to be determined is not necessarily optimum if the accuracy of the simulation to be performed is low, which is different from the image output after the parameter determination. There was also a problem that it was easy to get an impression.

  The present invention has been made to solve the above-described problems, and is a color conversion capable of adjusting the color of a display image for each specific color component based on conversion characteristics designated by a user. An object is to provide an apparatus and a color conversion method.

The present invention provides color conversion for converting first color data composed of color data representing the sizes of the three primary colors of red, green and blue into second color data corresponding to the first color data. A device,
Obtains data representing the magnitude of a plurality of color components constituting the color represented by the first color data, by using this data, red, yellow, green, cyan, blue, only the hue of Magenta and operand generation means for generating a valid Starring Sanko,
Converting the value of the predetermined matrix coefficients given to each Starring Sanko is designated via the external input means, representing red, yellow, green, cyan, blue, the amount of change in the hue of each color component of magenta Matrix coefficient generating means for determining and outputting based on the characteristic data;
By performing the matrix operation including multiplication of the upper Ki演 Sanko and the Matrix coefficients is obtained by a matrix calculation means for calculating the second color data.

Also, a color conversion method for converting first color data composed of color data representing the sizes of the three primary colors of red, green, and blue into second color data corresponding to the first color data. There,
Data representing the size of a plurality of color components constituting the color represented by the first color data is obtained, and using this data, a first calculation term effective for a red, green, or blue hue, And a second operand that is valid for yellow, cyan, or magenta hues,
Among the first calculation term and the second calculation term, a calculation term that is effective for two adjacent hues of red, yellow, green, cyan, blue, and magenta is used. Generate a third operand that is valid for the region,
Red, yellow, green, cyan, blue, and magenta color components that are designated via external input means as predetermined matrix coefficient values given to the first and second arithmetic terms. Determined based on conversion characteristics data representing the amount of hue change,
The second color data is calculated by performing a matrix calculation including multiplication of the first to third calculation terms and the matrix coefficient.

  The color conversion device and the color conversion method according to the present invention include a first calculation term effective for a red, green, or blue hue, a second calculation effective for a yellow, cyan, or magenta hue, and red, yellow, A third calculation term effective for two adjacent hues of green, cyan, blue, and magenta is generated, and a predetermined matrix coefficient value given to the first to third calculation terms is set as an external input unit. Determined based on conversion characteristic data representing the amount of change in each of the red, yellow, green, cyan, blue, and magenta color components, and the first to third calculation terms and the matrix coefficient Since the second color data is calculated by performing a matrix operation including multiplication, the hue and the color component within the hue can be adjusted independently, and the color conversion characteristics can be changed according to the external input.

Hereinafter, the present invention will be specifically described with reference to the drawings showing embodiments thereof.
Embodiment 1 FIG.
FIG. 1 is a block diagram showing an example of the configuration of an image display apparatus according to an embodiment of the present invention.
In the figure, 31 is image data input means, 32 is color conversion means, 33 is image data output means, 34 is image display means, 35 is conversion characteristic storage means, 36 is conversion characteristic setting means, and 37 is conversion characteristic designation means. is there.

  The operation of the image display apparatus in FIG. 1 will be described. Image data Ri1, Gi1, and Bi1 composed of three color data are input to the image data input means 31. The input image data Ri1, Gi1, Bi1 are subjected to input image processing in the image data input means 31, and are output as image data Ri, Gi, Bi consisting of three color data. Here, as the input image processing, processing such as gradation correction processing or pixel number conversion according to the characteristics of input image data can be considered. The image data Ri, Gi, Bi output from the image data input unit 31 is input to the color conversion unit 32. The color conversion means 32 uses the conversion characteristic data stored in the conversion characteristic storage means 35 to perform color conversion processing on the input image data Ri, Gi, Bi, and outputs a second color data composed of three color data. Image data Ro, Go, and Bo are obtained and output.

  The second image data Ro, Go, Bo output from the color conversion unit 32 is input to the image data output unit 33. The input Ro, Go, Bo are subjected to output image processing in the image data output means 33, output as image data Ro1, Go1, Bo1, and sent to the image display means 34 for image display. Here, as output image processing, processing such as gradation correction processing or data format conversion according to the characteristics of the image display means 34 can be considered. As the image display means, a liquid crystal panel, a CRT, or the like can be considered.

The user designates a desired conversion characteristic using the conversion characteristic specifying means 37. The conversion characteristic designation means 37 generates and outputs conversion characteristic designation data from the designation result from the user. The conversion characteristic designation data output from the conversion characteristic designation unit 37 is input to the conversion characteristic setting unit 36.
The conversion characteristic setting unit 36 calculates conversion characteristic data from the input conversion characteristic designation data and sets it in the conversion characteristic storage unit 35.

  The conversion characteristic designation unit 37 can be realized by, for example, a menu displayed on the screen of the image display unit 34 and a key provided in the image display unit 34. In this case, the user designates a desired conversion characteristic by selecting a menu displayed on the screen of the image display means 34 by key input. Other methods such as a method of providing a dedicated operation panel and a method of using an input device such as a mouse or a keyboard are conceivable as the conversion characteristic designating unit 37, but here, they are displayed on the screen of the image display unit 34. The case where it implement | achieves by the key with which a menu and the image display means 34 are provided is demonstrated.

FIG. 2 is a diagram showing an example of a menu displayed on the screen of the image display means 34. In FIG. 2, 38 is a red adjustment bar, 39 is a yellow adjustment bar, 40 is a green adjustment bar, 41 is a cyan adjustment bar, 42 is a blue adjustment bar, and 43 is a magenta adjustment bar. The user operates the keys provided in the image display means 34 to adjust the red adjustment bar 38, the yellow adjustment bar 39, the green adjustment bar 40, the cyan adjustment bar 41, the blue adjustment bar 42, and the magenta adjustment bar 43. Select the adjustment bar corresponding to the desired color, that is, the color whose conversion characteristics are desired.
The selected adjustment bar informs the user that the adjustment bar is selected by a change in display color or a change in display brightness. After the selection of the desired adjustment bar is completed, the user selects how close the selected color is to which of the adjacent colors. By repeating the above operation, the user designates desired color conversion characteristics. In the example of FIG. 2, conversion characteristics are specified such that red is one step toward yellow, yellow is two steps to green, green is one step to cyan, blue is two steps to cyan, and magenta is one step to blue. Yes.

The conversion characteristic designation unit 37 designates conversion characteristics from the values of the red adjustment bar 38, yellow adjustment bar 39, green adjustment bar 40, cyan adjustment bar 41, blue adjustment bar 42, and magenta adjustment bar 43 designated by the user. Generate data. FIG. 3 is a diagram illustrating an example of the configuration of the conversion characteristic designation data. In the example of FIG. 3, the conversion characteristic designation data is composed of red designation data, yellow designation data, green designation data, cyan designation data, blue designation data, and magenta designation data from the top. Consists of bits and absolute values.
The sign bit represents which of the adjacent colors the corresponding color is brought closer to, and the absolute value represents how close it is. For a color whose conversion characteristics are not designated by the user, the designation data of the color is 0. In the case of designation as in the example of FIG. 2, for example, red designation data is “−1”, yellow designation data is “−2”, green designation data is “−1”, and cyan designation data is “+0”. “, Blue designation data can be“ +2 ”, and magenta designation data can be“ +1 ”.

  The conversion characteristic setting unit 36 calculates conversion characteristic data from the conversion characteristic designation data from the conversion characteristic designation unit 37 and sets it in the conversion characteristic storage unit 35. The conversion characteristic data is data that is referred to when the color conversion unit 32 performs color conversion processing and determines the conversion characteristic. When the color conversion unit 32 is configured as a matrix conversion format color conversion unit, the conversion characteristic data is Includes calculation coefficients in matrix calculation.

  FIG. 4 is a block diagram showing an example of the configuration of the color conversion means 32. In the figure, reference numeral 1 denotes a maximum value β and minimum value α of input image data Ri, Gi, Bi, and generates and outputs an identification code for specifying each data, and 2 denotes image data Ri, Hue data calculation means for calculating hue data r, g, b, y, m, and c from Gi, Bi and the output from the αβ calculation means 1, 3 for polynomial calculation means, 4 for matrix calculation means, and 5 for coefficient generation Means 6 is a synthesis means. In the example shown in FIG. 4, the conversion characteristic data is input to the coefficient generation means 5 as calculation coefficients used in matrix calculation and calculation coefficients used in the polynomial calculation means 3.

  FIG. 5 is a block diagram showing a configuration example of the polynomial calculation means 3. In the figure, reference numeral 7 denotes zero removal means for removing data that becomes zero from input hue data, 9a, 9b, 9c are minimum value selection means for selecting and outputting the minimum value of the input data, and 11 is the above-mentioned αβ Based on the identification code from the calculation means 1, the calculation coefficient selection means 10a and 10b for selecting and outputting the coefficient from the coefficient generation means 10 are the calculation coefficient output from the calculation coefficient selection means 11, the minimum value selection means 9a and It is a calculation means which performs multiplication with the output of 9b.

  Next, the operation will be described. Input signals Ri, Gi, Bi corresponding to the three colors of red, green, and blue are sent to αβ calculating means 1 and hue data calculating means 2, and αβ calculating means 1 receives input image data Ri, Gi, Bi. The maximum value β and the minimum value α are calculated and output, and an identification code S1 for specifying the maximum value data and the minimum value data among the input image data Ri, Gi, Bi is generated and output. The hue data calculation means 2 receives the input image data Ri, Gi, Bi and the maximum value β and the minimum value α, which are outputs from the αβ calculation means 1, and r = Ri−α, g = Gi−α, b = Bi- [alpha] and y = [beta] -Bi, m = [beta] -Gi, c = [beta] -Ri are subtracted, and six hue data r, g, b, y, m and c are output.

  At this time, the maximum value β and the minimum value α calculated by the αβ calculating means 1 are β = MAX (Ri, Gi, Bi), α = MIN (Ri, Gi, Bi), and hue data calculating means 2 The six hue data r, g, b, y, m, and c calculated in the above are r = Ri−α, g = Gi−α, b = Bi−α, and y = β−Bi, m = β−Gi. , C = β-Ri is obtained by subtraction processing, and these six hue data have a property that at least two of them become zero. For example, when the maximum value β is Ri and the minimum value α is Gi (β = Ri, α = Gi), g = 0 and c = 0 are obtained by the above subtraction process, and the maximum value β is Ri and minimum. When the value α is Bi (β = Ri, α = Bi), b = 0 and c = 0. That is, depending on the combination of Ri, Gi, and Bi that is the maximum and minimum, at least one of r, g, and b and one of y, m, and c will be zero in total. .

  Therefore, the αβ calculating means 1 generates and outputs an identification code S1 that specifies zero of the six hue data. The identification code S1 can generate six types of identification codes S1 for specifying data depending on which of the maximum value β and the minimum value α is Ri, Gi, or Bi. FIG. 6 is a diagram showing the relationship between the identification code S1, the maximum value β, the minimum value α, and hue data of zero in Ri, Gi, Bi. Note that the value of the identification code S1 in the figure shows an example, and is not limited to this, and may be another value.

  Next, the six hue data r, g, b and y, m, c, which are outputs from the hue data calculation means 2, are sent to the polynomial calculation means 3, and for r, g, b, matrix calculation means. 4 is also sent. The identification code S1 output from the αβ calculating means 1 is also input to the polynomial calculating means 3, and two non-zero data Q1, Q2 in r, g, b and non-zero in y, m, c The operation is performed by selecting two pieces of data P1 and P2, and this operation will be described with reference to FIG.

  In the polynomial calculation means 3, the hue data from the hue data calculation means 2 and the identification code S 1 from the αβ calculation means are input to the zero removal means 7. Based on the identification code S1, the zero removing means 7 outputs two non-zero data Q1, Q2 in r, g, b and two non-zero data P1, P2 in y, m, c. Q1, Q2, P1, and P2 are determined and output, for example, as shown in FIG. For example, from FIGS. 6 and 7, when the identification code S1 = 0, Q1 and Q2 are obtained from r and b, P1 and P2 are obtained from y and m, and Q1 = r, Q2 = b, P1 = m, and P2 = Output as y. As in FIG. 6, the value of the identification code S1 in FIG. 7 shows an example thereof, and is not limited to this, and may be another value.

  The minimum value selection means 9a selects and outputs the minimum value T4 = min (Q1, Q2) of the output data Q1 and Q2 from the zero removal means 7, and the minimum value selection means 9b outputs the zero value. The minimum value T2 = min (P1, P2) of the output data P1, P2 from the removing means 7 is selected and output. T4 and T2 output from the minimum value selection means 9a and 9b are the first comparison data.

  The calculation coefficient selection means 11 receives the identification code S1 from the αβ calculation means 1, and the calculation means aq from the coefficient generation means for multiplying the first comparison data T4 and T2 in the calculation means 10a, 10b. , Ap is selected based on the identification code S1, and the calculation coefficient aq is output to the calculation means 10a, and the calculation coefficient ap is output to the calculation means 10b. The calculation coefficients aq and ap are selected according to the identification code S1, and six types of calculation coefficients aq and ap are selected for the identification code S1 from FIG. The calculation means 10a receives the first comparison data T4 from the minimum value selection means 9a, performs multiplication aq × T4 by the calculation coefficient aq selected by the calculation coefficient selection means 11 and the first comparison data T4, and The output is sent to the minimum value selection means 9c. The calculation means 10b receives the first comparison data T2 from the minimum value selection means 9b, and uses the calculation coefficient ap from the calculation coefficient selection means 11 and the first comparison data T2. Multiplication ap × T2 is performed and the output is sent to the minimum value selection means 9c.

  The minimum value selection unit 9c selects and outputs the minimum value T5 = min (ap × T2, aq × T4) of the outputs from the calculation units 10a and 10b. T5 output from the minimum value selection means 9c is the second comparison data. The polynomial data T2, T4, and T5 described above are the outputs of the polynomial calculation means 3. The output of the polynomial calculation means 3 is sent to the matrix calculation means 4 as a calculation term.

  On the other hand, the coefficient generation means 5 in FIG. 4 selects the operation coefficient U (Fij) and the fixed coefficient U (Eij) of the polynomial data from the conversion characteristic data stored in the conversion characteristic storage means 5 based on the identification code S1. The data is output and sent to the matrix calculation means 4. The matrix calculation means 4 receives the hue data r, g, b from the hue data calculation means 2, the polynomial data T2, T4, T5 from the polynomial calculation means 3, and the coefficient U from the coefficient generation means 5 as follows. The calculation result of Expression (1) is output as image data R1, G1, and B1.

  In equation (1), i = 1 to 3, j = 1 to 3 in (Eij), i = 1 to 3 and j = 1 to 3 in (Fij).

  Here, FIG. 8 is a block diagram showing an example of a partial configuration of the matrix calculation means 4, and shows a case where R1 is calculated and output. In the figure, 12a, 12c, 12e and 12f are multiplication means, and 13a, 13d and 13e are addition means.

  Next, the operation of FIG. 8 will be described. Multiplication means 12a, 12c, 12e, and 12f receive hue data r, polynomial data T2, T4, T5 from polynomial calculation means 3 and coefficients U (Eij) and U (Fij) from coefficient generation means 5, respectively. The product of is output. The adding means 13a receives the product output from each of the multiplying means 12c and 12e, adds the input data, and outputs the sum. The adder 13d adds the output from the adder 13a and the product as the output of the multiplier 12f. The adding means 13e adds the output of the adding means 13d and the output of the multiplying means 12a, and outputs the sum as image data R1. In the configuration example of FIG. 8, the image data G1 and B1 can be calculated by replacing the hue data r with g or b.

  When the calculation speed of the color conversion means 32 becomes a problem, the coefficients (Eij) and (Fij) are coefficients corresponding to the respective hue data r, g, and b. If three are used in parallel with respect to, g and b, higher-speed matrix calculation can be performed.

  The synthesizing means 6 receives the image data R1, G1, B1 from the matrix calculating means 4 and the minimum value α indicating the achromatic color data that is the output from the αβ calculating means 1, and performs addition to obtain the image data Ro, Go and Bo are output. Therefore, an arithmetic expression for obtaining the image data Ro, Go, and Bo color-converted by the color conversion means in FIG. 4 is Expression (2).

Here, in (Eij), i = 1 to 3, j = 1 to 3, and in (Fij), i = 1 to 3, and j = 1 to 12, h1r = min (m, y), h1g = min ( y, c), h1b = min (c, m), h1c = min (g, b), h1m =
min (b, r), h1y = min (r, g), h2ry = min (aq1 × h1y, ap1 × h1r),
h2rm = min (aq2 × h1m, ap2 × h1r), h2gy = min (aq3 × h1y, ap3 × h1g),
h2gc = min (aq4 × h1c, ap4 × h1g), h2bm = min (aq5 × h1m, ap5 × h1b),
h2bc = min (aq6 × h1c, ap6 × h1b), and aq1 to aq6 and ap1 to ap6 are calculation coefficients selected by the calculation coefficient selection unit 11 in FIG.

  Note that the difference in the number of calculation terms in Expression (2) and the number of calculation terms in FIG. 4 discloses a calculation method for each pixel excluding data in which the calculation term in FIG. 2) is that a general formula for a pixel set is disclosed. In other words, the polynomial data of Equation (2) can reduce 12 data to 3 effective data for one pixel, and this reduction is achieved by skillfully utilizing the property of hue data.

  The combination of valid data changes according to the image data of the pixel of interest, and all polynomial data is valid for all image data.

  FIGS. 9A to 9F schematically show the relationship between six hues and hue data y, m, c, r, g, and b, and each hue data is related to three hues. doing.

Expressions (1) and (2) include first comparison data that is valid for only one of the hues.
The first comparison data includes h1r = min (y, m), h1y = min (r, g), h1g = min (c, y), h1c = min (g, b), h1b = min (m, c), h1m = min (b, r). FIGS. 10A to 10F schematically show the relationship between the six hues and the first comparison data h1r, h1y, h1g, h1c, h1b, and h1m. It can be seen that it is related to a specific hue.

For example, with W as a constant, r = W for red,
Since g = b = 0, y = m = W and c = 0. Therefore, min (y, m) = W, and the other five first comparison data are all zero. That is, for red, only h1r = min (y, m) is valid first comparison data. Similarly, h1g = min (c, y) for green, h1b = min (m, c) for blue, h1c = min (g, b) for cyan, and h1m = min (b, r) for magenta. For yellow, only h1y = min (r, g) is effective first comparison data.

11A to 11F show six hues and second comparison data h2ry = min (h1y, h1r), h2gy = min (h1y, h1g), h2gc = min (h1c, h1g), h2bc = The relationship of min (h1c, h1b), h2bm = min (h1m, h1b), h2rm = min (h1m, h1r) is schematically shown, and h2ry = min (aq1 × h1y in the above equation (2). , Ap1 × h1r), h2gy = min (aq3 × h1y, ap3 × h1g), h2gc = min (aq4 × h1c, ap4 × h1g), h2bc = min (aq6 × h1c, ap6 × h1b), h2bm = min (aq5) × h1m, ap5 × h1b), h2rm = min (aq2 × h1m, ap2 × h1r), the calculation coefficients aq1 to aq6 and ap1 to a The value of 6 illustrates the case of a 1. From each of FIGS. 11A and 11B, each second comparison data is related to the change in the intermediate region between the six hues of red to yellow, yellow to green, green to cyan, cyan to blue, blue to magenta, and magenta to red. I understand that.
That is, for red to yellow, b = c = 0,
All the other five terms except for h2ry = min (h1y, h1r) = min (min (r, g), min (y, m)) are zero. Therefore, only h2ry is valid second comparison data, and similarly, yellow to green is h2gy, green to cyan is h2gc, cyan to blue is h2bc, blue to magenta is h2bm, and magenta to red. Only the h2rm is effective second comparison data.

  12A to 12F show the case where the arithmetic coefficients aq1 to aq6 and ap1 to ap6 in hry, hrm, hgy, hgc, hbm, and hbc in the above formulas (1) and (2) are changed. The relationship between the six hues and the second comparison data is schematically shown. In the case indicated by broken lines a1 to a6 in the figure, the characteristics when aq1 to aq6 are larger than ap1 to ap6 are shown. The broken lines b1 to b6 indicate the characteristics when ap1 to ap6 are larger than aq1 to aq6.

That is, for red to yellow, only h2ry = min (aq1 * h1y, ap1 * h1r) is effective second comparison data. For example, when the ratio of aq1 to ap1 is 2: 1, FIG. As indicated by a broken line a1 in A), the peak value becomes comparison data related to red and can be set as effective comparison data in a region close to red between red and yellow hues.
On the other hand, for example, if the ratio of aq1 to ap1 is 1: 2, the relationship becomes as shown by the broken line b1 in FIG. 12A, and the peak value becomes comparison data related to yellow, and the yellow between red and yellow hues. The comparison data can be effective in a region close to. Similarly, yellow to green have aq3 and ap3 in h2gy, green to cyan have aq4 and ap4 in h2gc, cyan to blue have aq6 and ap6 in h2bc, and blue to magenta have aq5 and ap5 in h2bm. By changing aq2 and ap2 in h2rm from magenta to red, the effective area can be changed in the area between the hues.

  FIGS. 13A and 13B show the relationship between six hues and inter-hue regions and effective calculation terms. Therefore, by changing the coefficient related to the calculation term effective in the hue to be adjusted or the region between hues among the conversion characteristic data from the conversion characteristic storage means 35, that is, the calculation coefficient, only the hue of interest can be adjusted. The degree of change between hues can also be corrected. If the coefficient selected by the calculation coefficient selection means 11 in the polynomial calculation means 3 is changed, the area where the calculation term in the inter-hue area is valid can be changed without affecting other hues.

  When the color conversion unit 32 is configured as described above, the conversion characteristic storage unit 35 stores conversion characteristic data as calculation coefficients. FIG. 14 is a block diagram showing an example of the configuration of the conversion characteristic setting unit 36. In FIG. 14, reference numeral 44 denotes conversion characteristic calculation means, and 45 denotes conversion characteristic writing means. The conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic calculation unit 44. The conversion characteristic calculation means 44 calculates conversion characteristic data from the input conversion characteristic designation data and outputs it. The conversion characteristic data output from the conversion characteristic calculation unit 44 is set in the conversion characteristic storage unit 35 via the conversion characteristic writing unit 45.

  On the other hand, the color conversion means 32 has arithmetic terms that are effective only in the six hues and the inter-hue region, and if the coefficient related to the effective arithmetic term is changed in the hue to be adjusted or in the region between the hues, the target hue is changed. Can be adjusted, and the degree of change between hues can also be corrected. Therefore, the conversion characteristic calculation unit 44 calculates a coefficient related to a calculation term effective in the hue designated by the conversion characteristic or the region between hues according to the content of the conversion characteristic designation data from the conversion characteristic designation unit 37. For example, when it is designated that red is brought closer to yellow by one step, a coefficient related to the first comparison data h1r effective for red is newly calculated. The coefficients related to h1r include a coefficient for calculating R1, a coefficient for calculating G1, and a coefficient for calculating B1. When it is designated that red is close to yellow by one step, for example, a coefficient corresponding to the absolute value of the red designation data of the conversion characteristic designation data shown in FIG. Or is subtracted from the coefficient for calculating B1 among the coefficients related to h1r.

  In the case where the conversion characteristic designating unit 37 has the menu shown in FIG. 2 and the color conversion unit 35 has the configuration shown in FIG. 4, the conversion characteristic calculating unit 44 does not specify the conversion characteristic by the red adjustment bar 38. A coefficient relating to h1r is newly calculated, a coefficient relating to h1y is newly calculated for designation of conversion characteristics by the yellow adjustment bar 39, and a coefficient relating to h1g is designated for designation of conversion characteristics by the green adjustment bar 40 Is newly calculated, the coefficient relating to h1c is newly calculated for the designation of the conversion characteristic by the cyan adjustment bar 41, and the coefficient relating to h1b is newly calculated for the designation of the conversion characteristic by the blue adjustment bar 42. For the conversion characteristic designation by the magenta adjustment bar 43, a coefficient relating to h1m is newly calculated. As described above, when the color for which the conversion characteristic can be designated by the conversion characteristic designation unit 37 and the hue that can be independently adjusted by the color conversion unit 32 correspond to each other, the calculation of the conversion characteristic data becomes easy.

  The coefficients related to the second comparison data h2ry, h2gy, h2gc, h2bc, h2bm, and h2rm can be determined based on the coefficients related to the first comparison data. Alternatively, the coefficient related to the second comparison data may be determined directly from the content of the conversion characteristic data. The conversion characteristic designating unit 37 newly calculates these values as necessary.

  In the first embodiment, the color conversion unit 32 has been described as performing color conversion by matrix calculation using the first and second comparison data. However, the color conversion unit 32 may have other configurations. Good. The conversion characteristic storage means may be of any type and configuration as long as a desired value can be set, such as a random access memory, a read only memory, or a so-called register. Further, the image data input means 31 and the image output means 33 are not necessarily required, and may be omitted when input image processing or output image processing is unnecessary.

  In the first embodiment, the user uses six adjustment bars including the red adjustment bar 38, the yellow adjustment bar 39, the green adjustment bar 40, the cyan adjustment bar 41, the blue adjustment bar 42, and the magenta adjustment bar 43 to change the conversion characteristics. Although it is configured to specify, it is not necessary to specify separate conversion characteristics for each color, and when the same conversion characteristics are specified for all colors, the values of the six adjustment bars are all the same. For example, in the menu shown in FIG. 2, red is one step for yellow, yellow is one step for green, green is one step for cyan, cyan is one step for blue, blue is one step for magenta, and magenta is one step for red. When approaching, the values of the six adjustment bars are the same. In this case, six adjustment bars are not necessarily required, and one adjustment bar can be used instead.

  As described above, it is possible to obtain an image display device capable of adjusting only the color to be adjusted by designating the conversion characteristic of the color to be adjusted by the user using the conversion characteristic designating unit. In addition, since the color conversion means for performing the color conversion process is configured by hardware, an image display device capable of real-time processing on a moving image can be obtained without imposing a heavy load on the CPU. Further, since the color-converted image data is sent to the image display means via the image data output means, an image display in which the adjusted image is displayed on the image display means at the same magnification as the image before adjustment in real time. A device can be obtained.

Embodiment 2. FIG.
FIG. 15 is a block diagram showing an example of the configuration of the conversion characteristic setting means 36 according to the second embodiment of the present invention. In the figure, 44 and 45 are the same as those in FIG. 14 of the first embodiment, and 46 is an initial characteristic storage means. In this embodiment, the conversion characteristic calculation unit 44 calculates conversion characteristic data by referring to the initial characteristic data from the initial characteristic storage unit 46 in addition to the conversion characteristic data from the conversion characteristic specifying unit 45. Other configurations are the same as those of the first embodiment.

  As in the first embodiment, when the color conversion unit 32 is configured as shown in FIG. 4, the conversion characteristic storage unit 35 stores conversion characteristic data as calculation coefficients. The conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic calculation unit 44. Initial characteristic data from the initial characteristic storage means 46 is also input to the conversion characteristic calculation means 44. The initial characteristic means 46 stores conversion characteristic data when the conversion characteristic specifying means 37 does not specify a conversion characteristic by the user. The conversion characteristic calculation unit 44 changes the value of the initial characteristic data in accordance with the content of the input conversion characteristic designation data, and outputs it as conversion characteristic data. When the content of the conversion characteristic designation data indicates that the user does not designate the conversion characteristic, the value of the initial characteristic data is output as the conversion characteristic data.

  For example, when it is designated that red is brought closer to yellow by one step, a coefficient related to the first comparison data h1r effective for red is newly calculated. The coefficients related to h1r include a coefficient for calculating R1, a coefficient for calculating G1, and a coefficient for calculating B1. In the case where it is designated that red is close to yellow by one step, for example, an initial value for calculating G1 among the coefficients related to h1r is obtained according to the absolute value of the red designation data of the conversion characteristic designation data shown in FIG. The coefficient is added to the coefficient or subtracted from the initial coefficient for calculating B1 among the coefficients related to h1r.

  As the initial characteristic data, for example, conversion characteristic data for correcting the color reproduction characteristic specific to the image display means 34 can be stored. The user uses the conversion characteristic specifying means for the stored initial value, and specifies the conversion characteristic according to the preference and the visual environment. The initial characteristic storage means may be of any type and configuration as long as a desired value can be set, such as a random access memory, a read only memory, or a so-called register. Further, the initial characteristic storage means may be configured so that the stored initial characteristic data can be rewritten from the outside.

  As described above, it is possible to obtain an image display apparatus capable of adjusting only the color to be adjusted from the initial characteristics stored in advance by designating the conversion characteristic of the color to be adjusted by the user with the conversion characteristic designating means. In addition, since the color conversion means for performing the color conversion process is configured by hardware, an image display device capable of real-time processing on a moving image can be obtained without imposing a heavy load on the CPU. Further, since the color-converted image data is sent to the image display means via the image data output means, an image display in which the adjusted image is displayed on the image display means at the same magnification as the image before adjustment in real time. A device can be obtained.

Embodiment 3 FIG.
FIG. 16 is a diagram showing an example of a menu displayed on the screen of the image display means 34 in Embodiment 3 of the present invention. In FIG. 16, 38 is a red adjustment bar, 40 is a green adjustment bar, and 42 is a blue adjustment bar, which are the same as those in FIG. In the first embodiment, the user designates the conversion characteristics using the six color adjustment bars of red, yellow, green, cyan, blue, and magenta. However, in this embodiment, the user uses The person is configured to designate the conversion characteristics using the adjustment bars of three colors of red, green, and blue, so that the characteristics can be designated more easily. Other configurations are the same as those of the first embodiment.

  The user selects an adjustment bar corresponding to a color to be adjusted, that is, a color for which conversion characteristics are desired to be designated, from among the red adjustment bar 38, the green adjustment bar 40, and the blue adjustment bar 42. The selected adjustment bar informs the user that the adjustment bar is selected by a change in display color or a change in display brightness. After the selection of the desired adjustment bar is completed, the user selects how close the selected color is to which of the adjacent colors. By repeating the above operation, the user designates desired color conversion characteristics. In the example of FIG. 16, conversion characteristics are specified such that red is one step closer to yellow, green is one step closer to cyan, and blue is closer to two steps closer to cyan.

  The conversion characteristic designation means 37 generates conversion characteristic designation data from the values of the red adjustment bar 38, the green adjustment bar 40, and the blue adjustment bar 42 designated by the user. FIG. 17 is a diagram illustrating an example of the configuration of conversion characteristic designation data. In the example of FIG. 17, the conversion characteristic designation data is composed of red designation data, green designation data, and blue designation data from the top, and the designation data for each color is composed of a sign bit and an absolute value. The sign bit represents which of the adjacent colors the corresponding color is brought closer to, and the absolute value represents how close it is. In the case of designation as in the example of FIG. 16, for example, red designation data can be “−1”, green designation data can be “−1”, and blue designation data can be “+2”.

  As in the first embodiment, the conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic calculation unit 44. The conversion characteristic calculation means 44 newly calculates and outputs conversion characteristic data according to the contents of the input conversion characteristic designation data. For example, when it is designated that red is brought closer to yellow by one step, a coefficient related to the first comparison data h1r effective for red is newly calculated. The coefficients related to h1r include a coefficient for calculating R1, a coefficient for calculating G1, and a coefficient for calculating B1. When it is designated that red is close to yellow by one step, for example, a coefficient corresponding to the absolute value of the red designation data of the conversion characteristic designation data shown in FIG. 17 is a coefficient for calculating G1 among the coefficients relating to h1r Or is subtracted from the coefficient for calculating B1 among the coefficients related to h1r. Similarly, when the green conversion characteristic is designated, a coefficient related to the first comparison data h1g effective for green is newly calculated, and when the blue conversion characteristic is designated, the coefficient is changed to blue. On the other hand, a coefficient related to the first comparison data h1b that is effective is newly calculated.

  The first comparison data h1y, h1m, h1c effective for yellow, magenta, and cyan, and the coefficients for the second comparison data h2ry, h2gy, h2gc, h2bc, h2bm, h2rm are red, green, and blue. On the other hand, it can be determined based on the coefficients related to the first comparison data h1r, h1g, and h1b that are effective. Alternatively, the coefficients related to h1y, h1m, h1c, and the second comparison data may be determined directly from the content of the conversion characteristic data. The conversion characteristic designating unit 37 newly calculates these values as necessary.

  As described above, it is possible to obtain an image display device capable of adjusting only the color to be adjusted by designating the conversion characteristic of the color to be adjusted by the user using the conversion characteristic designating unit. In addition, since the color conversion means for performing the color conversion process is configured by hardware, an image display device capable of real-time processing on a moving image can be obtained without imposing a heavy load on the CPU. Further, since the color-converted image data is sent to the image display means via the image data output means, an image display in which the adjusted image is displayed on the image display means at the same magnification as the image before adjustment in real time. A device can be obtained. In addition, since the conversion characteristics are designated by selecting from three colors of red, green, and blue, simple adjustment is possible.

Embodiment 4 FIG.
FIG. 18 is a diagram showing an example of a menu displayed on the screen of the image display means 34 in Embodiment 4 of the present invention. In FIG. 18, 38, 39, 40, 41, 42, and 43 are the same as those in FIG. 2 of the first embodiment, and 47 is a color temperature adjustment bar.
FIG. 20 is a block diagram showing an example of the configuration of the conversion characteristic setting unit 36 according to the fourth embodiment of the present invention. In the figure, 44 and 45 are the same as those in FIG. 14 of the first embodiment, and 48 is a white balance adjusting means. Other configurations are the same as those of the first embodiment. In the first embodiment, the user designates the conversion characteristics using the six color adjustment bars of red, yellow, green, cyan, blue, and magenta. However, in this embodiment, the user uses In addition to the above six colors, the person can also adjust the color temperature.

FIG. 19 is a diagram showing an example of the configuration of the conversion characteristic designation data output from the conversion characteristic designation unit 37 in the present embodiment. The conversion characteristic data generated in the present embodiment has a configuration in which white balance designation data is added to the conversion characteristic data generated in the first embodiment. The user designates a desired color temperature using the color temperature adjustment bar 47. The conversion characteristic designation unit 37 calculates white balance designation data from the contents of the color temperature adjustment bar 47.
The white balance designation data includes information on the intensity ratio of red, green, and blue for realizing the white balance designated by the user.

  The conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic setting unit 36. FIG. 20 is a block diagram showing an example of the configuration of the conversion characteristic setting unit 36 in the present embodiment. In the conversion characteristic setting unit 36, the conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic calculation unit 44. At the same time, it is also input to the white balance adjusting means 48. The conversion characteristic calculation means 44 newly adds conversion characteristic data according to the contents of the red designation data, yellow designation data, green designation data, cyan designation data, blue designation data, and magenta designation data among the input conversion characteristic designation data. This operation is calculated and output, but this operation is the same as the operation in the first embodiment.

  The conversion characteristic data output from the conversion characteristic calculation unit 44 is input to the white balance adjustment unit 48. The white balance adjustment unit 48 changes the conversion characteristic data from the conversion characteristic calculation unit 44 in accordance with the content of the white balance designation data among the input conversion characteristic designation data, and outputs it to the conversion characteristic writing unit 45. To do. The conversion characteristic writing unit 45 sets the conversion characteristic data input from the input white balance adjustment unit 48 in the conversion characteristic storage unit 35.

  As described above, it is possible to obtain an image display device capable of adjusting only the color to be adjusted by designating the conversion characteristic of the color to be adjusted by the user using the conversion characteristic designating unit. In addition, since the color conversion means for performing the color conversion process is configured by hardware, an image display device capable of real-time processing on a moving image can be obtained without imposing a heavy load on the CPU. Further, since the color-converted image data is sent to the image display means via the image data output means, an image display in which the adjusted image is displayed on the image display means at the same magnification as the image before adjustment in real time. A device can be obtained. In addition, it is possible to obtain an image display device in which the user can adjust the white balance according to his / her preference.

Embodiment 5. FIG.
FIG. 21 is a diagram showing an example of a menu displayed on the screen of the image display means 34 in Embodiment 5 of the present invention. In FIG. 21, 49 is a skin color adjustment bar. In the first embodiment, the user designates the conversion characteristics using the six color adjustment bars of red, yellow, green, cyan, blue, and magenta. However, in this embodiment, the user uses The person uses the skin color adjustment bar to designate conversion characteristics for human skin color. Other configurations are the same as those of the first embodiment.

  When the skin color conversion characteristic is designated, the user selects the skin color adjustment bar 49. The selected adjustment bar informs the user that the adjustment bar is selected by a change in display color or a change in display brightness. After the selection of the adjustment bar is completed, the user selects how much the skin color is changed to “reddish” skin color close to red or “yellowish” skin color close to yellow. In the example of FIG. 21, conversion characteristics that change the skin color to “yellowish” by one step are designated.

  The conversion characteristic designation means 37 generates conversion characteristic designation data from the value of the skin color adjustment bar 49 designated by the user. The conversion characteristic designation data is composed of a sign bit and an absolute value. The sign bit indicates whether the skin color is changed to “reddish” skin color or “yellowish” skin color, and the absolute value indicates how much the color is changed. In the case of being designated as in the example of FIG. 21, for example, the conversion characteristic designation data can be “−1”.

  As in the first embodiment, the conversion characteristic designation data from the conversion characteristic designation unit 37 is input to the conversion characteristic calculation unit 44. The conversion characteristic calculation means 44 newly calculates and outputs conversion characteristic data according to the contents of the input conversion characteristic designation data. Here, the skin color generally exists in an intermediate region between the hues of red to yellow. Therefore, to change the conversion characteristics with respect to the skin color, it is effective to change the coefficient relating to the second comparison data h2ry that is effective for the intermediate region between the hues of red and yellow.

  The coefficients related to the calculation terms other than the second comparison data h2ry need not be changed, or may be changed from the content of the conversion characteristic data.

  As described above, it is possible to obtain an image display device capable of adjusting only the skin color when the user designates the skin color conversion characteristic by the conversion characteristic designating means. In addition, since the color conversion means for performing the color conversion process is configured by hardware, an image display device capable of real-time processing on a moving image can be obtained without imposing a heavy load on the CPU. Further, since the color-converted image data is sent to the image display means via the image data output means, an image display in which the adjusted image is displayed on the image display means at the same magnification as the image before adjustment in real time. A device can be obtained.

It is a block diagram which shows an example of a structure of the image display apparatus by Embodiment 1 of this invention. It is a figure which shows an example of the menu displayed on the screen of the image display means 34 in the image display apparatus by Embodiment 1 of this invention. It is a figure which shows an example of a structure of the conversion characteristic designation | designated data in the image display apparatus by Embodiment 1 of this invention. It is a block diagram which shows an example of a structure of the color conversion means 32 in the image display apparatus by Embodiment 1 of this invention. It is a block diagram which shows one structural example of the polynomial calculating means 3 in the image display apparatus by Embodiment 1 of this invention. It is a figure which shows an example of the relationship between the identification code | cord | chord S1 and the hue data used as the maximum value (beta) and minimum value (alpha), 0 in the image display apparatus by Embodiment 1 of this invention. It is a figure for demonstrating operation | movement of the zero removal means 7 of the polynomial calculating means 3 in the image display apparatus by Embodiment 1 of this invention. It is a block diagram which shows an example of a structure of a part of the matrix calculating means 4 in the image display apparatus by Embodiment 1 of this invention. It is the figure which showed typically the relationship between six hues and hue data. It is the figure which showed typically the relationship between the 1st comparison data and hue in the image display apparatus by Embodiment 1 of this invention. It is the figure which showed typically the relationship between the 2nd comparison data and hue in the image display apparatus by Embodiment 1 of this invention. FIG. 5 is a diagram schematically showing the relationship between the calculation term and the hue based on comparison data when the calculation coefficient is changed in the calculation coefficient selection means 11 of the polynomial calculation means 3 in the image display device according to Embodiment 1 of the present invention. . It is the figure which showed the relationship of the calculation term which is concerned in each hue and the area | region between hues in the image display apparatus by Embodiment 1 of this invention, and becomes effective. It is the block diagram which showed an example of the structure of the conversion characteristic setting means 36 in the image display apparatus by Embodiment 1 of this invention. It is a block diagram which shows an example of a structure of the conversion characteristic setting means 36 in the image display apparatus by Embodiment 2 of this invention. It is the figure shown about an example of the menu displayed on the screen of the image display means 34 in the image display apparatus by Embodiment 3 of this invention. It is a figure which shows an example of a structure of the conversion characteristic designation | designated data in the image display apparatus by Embodiment 3 of this invention. It is the figure shown about an example of the menu displayed on the screen of the image display means 34 in the image display apparatus by Embodiment 4 of this invention. It is a figure which shows an example of a structure of the conversion characteristic designation | designated data in the image display apparatus by Embodiment 4 of this invention. It is a block diagram which shows an example of a structure of the conversion characteristic setting means 36 in the image display apparatus by Embodiment 4 of this invention. It is the figure shown about an example of the menu displayed on the screen of the image display means 34 in the image display apparatus by Embodiment 5 of this invention. It is a figure which shows an example of the adjustment operation part of the color reproduction characteristic in the conventional image display apparatus. It is a figure showing the structure of the apparatus using the image adjustment method in the conventional image display apparatus.

Explanation of symbols

  1 αβ calculation means, 2 hue data calculation means, 3 polynomial calculation means, 4 matrix calculation means, 5 coefficient storage means, 6 synthesis means, 7 zero elimination means, 9a, 9b, 9c minimum value selection means, 10a, 10b calculation means 11 Calculation coefficient selection means, 12a, 12c, 12e, 12f Multiplication means, 13a, 13d, 13e Addition means, 31 Image data input means, 32 Color conversion means, 33 Image data output means, 34 Image display means, 35 Conversion characteristics Storage means, 36 Conversion characteristic setting means, 37 Conversion characteristic designation means, 38 Red adjustment bar, 39 Yellow adjustment bar, 40 Green adjustment bar, 41 Cyan adjustment bar, 42 Blue adjustment bar, 43 Magenta adjustment bar, 44 Conversion characteristic calculation means 45 conversion characteristic writing means 46 initial characteristic storage means 47 white balance adjustment bar 48 white Balance adjustment means, 49 skin color adjustment bar, 101 red signal intensity setting means, 102 green signal intensity setting means, 103 blue signal intensity setting means, 104 keyboard, 105 mouse, 106 input means, 107 control unit, 108 input circuit, 109 memory, 110 CPU, 111 output circuit, 112 image display unit, 113 original image, 114 processed image, 115 setting parameter, 116 hard copy device.

Claims (17)

A color conversion device that converts first color data composed of color data representing the sizes of components of three primary colors of red, green, and blue into second color data corresponding to the first color data. ,
Obtains data representing the magnitude of a plurality of color components constituting the color represented by the first color data, by using this data, red, yellow, green, cyan, blue, only the hue of Magenta and operand generation means for generating a valid Starring Sanko,
Converting the value of the predetermined matrix coefficients given to each Starring Sanko is designated via the external input means, representing red, yellow, green, cyan, blue, the amount of change in the hue of each color component of magenta Matrix coefficient generating means for determining and outputting based on the characteristic data;
The color conversion apparatus being characterized in that a matrix calculation means for calculating the second color data by performing a matrix operation including multiplication of the upper Ki演 Sanko and the matrix coefficients. The calculation term generation means calculates a calculation term effective only for each hue of red, green, and blue as a first calculation term, and sets a calculation term effective only for each hue of yellow, cyan, and magenta as a second calculation term. The first calculation term effective for two adjacent hues of red, yellow, green, cyan, blue, and magenta, and the region between the two adjacent hues using the second calculation term Further calculate a valid third operand,
The matrix coefficient generating means further determines and outputs a predetermined matrix coefficient value given to the third calculation term based on the conversion characteristic data,
2. The color conversion apparatus according to claim 1, wherein the matrix calculation means calculates the second color data by performing a matrix calculation further including the third calculation term . The matrix coefficient generating means changes the color components of red, yellow, green, cyan, blue, and magenta represented by the conversion characteristic data with the values of the matrix coefficients given to the first calculation term and the second calculation term. Set based on quantity,
The matrix coefficient value given to the third computation term is set based on the matrix coefficient values given to the first computation term and the second computation term. 2. The color conversion device according to 2. The color conversion according to any one of claims 1 to 3, wherein the conversion characteristic data includes white balance designation data indicating white balance of the second color data designated via the external input means. apparatus. 5. The color conversion apparatus according to claim 1, further comprising conversion characteristic storage means for storing an initial value of the conversion characteristic data. The calculation term generation means is a red color of the color obtained by removing the achromatic component from the color represented by the color data as data representing the size of the plurality of color components constituting the color represented by the first color data. Hue data calculation means for obtaining hue data r, g, b, c, m, y representing the size of each color component of green, blue, cyan, magenta and yellow, and generating an operation term using the hue data The color conversion device according to claim 1, wherein the color conversion device is a color conversion device. The first color data includes color data Ri, Gi, Bi representing the sizes of the red, green, and blue components,
The hue data calculation means uses the hue data r = Ri−α, g = Gi−α, b using the color data Ri, Gi, Bi and the minimum value α and the maximum value β of the color data Ri, Gi, Bi. The color conversion apparatus according to claim 6, wherein: b = α−y, y = β−Bi, m = β−Gi, and c = β−Ri are calculated. The calculation term generation means uses the hue data to calculate the first calculation terms h1r = min (m, y), h1g = min (y, c), h1b = min (c) effective for the hues of red, green, and blue. , M), and second operation terms h1y = min (r, g), h1c = min (g, b), and h1m = min (b, r) effective for yellow, cyan, and magenta hues. The color conversion device according to claim 6 or 7, wherein min (a, b) represents a value of the smallest of a and b. The calculation term generation means uses the first calculation terms h1r, h1g, h1b and the second calculation terms h1y, h1c, h1m, and uses red to yellow, red to magenta, yellow to green, green to cyan, blue to The third operation terms h2ry = min (h1r, h1y), h2rm = min (h1r, h1m), h2gy = min (h1g, h1y), h2gc = min (effective in the region between the hues of magenta and cyan to blue 9. The color conversion device (min (a, b) according to claim 8 is characterized in that h1g, h1c), h2bm = min (h1b, h1m), h2bc = min (h1b, h1c) are generated. Represents the value of the smallest of these). A color conversion method for converting first color data composed of color data representing the sizes of components of three primary colors of red, green, and blue into second color data corresponding to the first color data. ,
Data representing the size of a plurality of color components constituting the color represented by the first color data is obtained, and this data is used only for each hue of red, yellow, green, cyan, blue, and magenta. To generate a simple operand
Conversion characteristic data representing the amount of change in hue of each color component of red, yellow, green, cyan, blue, and magenta, which is designated via an external input means, with the value of a predetermined matrix coefficient given to the arithmetic term Based on
A color conversion method, characterized in that the second color data is calculated by performing a matrix calculation including multiplication of the calculation term and the matrix coefficient. A calculation term effective only for each hue of red, green, and blue is calculated as a first calculation term, a calculation term effective only for each hue of yellow, cyan, and magenta is calculated as a second calculation term, and red, The first calculation term effective for two adjacent hues of yellow, green, cyan, blue, and magenta, and the third calculation effective for the two adjacent hue regions using the second calculation term Calculate more terms,
Determining and outputting a predetermined matrix coefficient value given to the third operation term based on the conversion characteristic data;
The color conversion method according to claim 10, wherein the second color data is calculated by performing a matrix operation further including the third operation term . Matrix coefficient values given to the first and second calculation terms are set based on the amount of change in each color component of red, yellow, green, cyan, blue, and magenta represented by the conversion characteristic data. And
The matrix coefficient value given to the third computation term is set based on the matrix coefficient value given to each of the first computation term and the second computation term. The color conversion method according to claim 11. The color conversion according to any one of claims 10 to 12, wherein the conversion characteristic data includes white balance designation data indicating the white balance of the second color data designated via the external input means. Method. The calculation term generation means is a red color of the color obtained by removing the achromatic component from the color represented by the color data as data representing the size of the plurality of color components constituting the color represented by the first color data. Hue data calculation means for obtaining hue data r, g, b, c, m, y representing the size of each color component of green, blue, cyan, magenta and yellow, and generating an operation term using the hue data The color conversion method according to claim 10, wherein the color conversion method is performed. The first color data includes color data Ri, Gi, Bi representing the sizes of the red, green, and blue components,
The hue data calculation means uses the hue data r = Ri−α, g = Gi−α, b using the color data Ri, Gi, Bi and the minimum value α and the maximum value β of the color data Ri, Gi, Bi. 16. The color conversion method according to claim 14, wherein: = Bi- [alpha], y = [beta] -Bi, m = [beta] -Gi, and c = [beta] -Ri are calculated. Using the hue data, the first calculation terms h1r = min (m, y), h1g = min (y, c), h1b = min (c, m) effective for the hues of red, green and blue, and The second operation terms h1y = min (r, g), h1c = min (g, b), h1m = min (b, r) effective for the hues of yellow, cyan, and magenta are generated. Item 15. The color conversion method according to item 14 (min (a, b) represents the value of the minimum of a and b). Using the first calculation terms h1r, h1g, h1b and the second calculation terms h1y, h1c, h1m, red to yellow, red to magenta, yellow to green, green to cyan, blue to magenta, cyan to blue The third operation terms h2ry = min (h1r, h1y), h2rm = min (h1r, h1m), h2gy = min (h1g, h1y), h2gc = min (h1g, h1c), h2bm effective in the region between hues The color conversion method (min (a, b) according to claim 16 is the smallest of a and b, wherein: min (a, b) is defined as: min (a, b), and h2bc = min (h1b, h1c). Value).

Images