JP2017050617A - Lattice point group generation method, lattice point group generation program and lattice point group generation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a lattice point group generation method capable of improving precision of quality of an output image via a color conversion table further than the prior arts, a lattice point group generation program and a lattice point group generation device.SOLUTION: The lattice point group generation method for generating a group of lattice points before color conversion in a color conversion table for converting colors in an RGB color space of three RGB channels into colors in a CMYK color space includes: generating (S113) three van der Corput columns for which the quotient obtained by dividing a number subtracting 8 from a maximum number of lattice points allocatable for color conversion table by 12 is the same number as a term number and a basis is a positive integer equal to or greater than 2; generating (S115) a lattice point having terms in the same order among the three van der Corput columns as coordinates in each of 6 patterns making each of the generated three van der Corput columns correspondent to each of three RGB channels; and then also generating (S116) a lattice point in a complementary color of this lattice point.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a grid point group generation method and a grid point group generation program for generating a group of grid points before color conversion in a color conversion table for converting a color in a color space of three channels into a color in another color space. And a lattice point group generation apparatus.

  Conventionally, a color conversion table for converting RGB color space colors to CMYK color space colors is known as a color conversion table for converting colors in the color space of the three channels into colors in another color space ( For example, see Patent Document 1.) When RGB format image data is input, the image forming apparatus converts the RGB format image data into CMYK format image data via a color conversion table, and then performs printing based on the CMYK format image data. Run.

  As a conventional color conversion table, as shown in FIG. 18, many grid points are arranged in a cubic grid before color conversion. In the color conversion table in which the arrangement of grid points before color conversion is a cubic grid, the number of grid points per side of the cubic grid is selected depending on the capacity of the memory storing the grid point information. However, it is generally determined in consideration of the required accuracy of the output image quality and the cost of parts applied to the image forming apparatus. The number of grid points necessary for a color conversion table in which the arrangement of grid points before color conversion is cubic is N ^ 3, where N is the number of grid points per side of the cubic grid. Increases in proportion to the cube of N.

Japanese Patent Laying-Open No. 2015-088968

  The RGB space and the CMYK space have different color gamut shapes, and the relationship between them is often non-linear. Therefore, when calculating intermediate data between grid points in the color conversion table by interpolation using linear interpolation, the larger the number of grid points, the smaller the interval between grid points. It is possible to reduce an error from the intermediate data. That is, the greater the number of grid points in the color conversion table, the higher the quality accuracy of the output image by the image forming apparatus.

The upper limit of the capacity of the memory storing the lattice point information is determined according to the part cost applied to the image forming apparatus. The upper limit of the number of grid points in the color conversion table is determined according to the upper limit of the memory capacity for storing the grid point information. Hereinafter, the upper limit of the number of grid points determined according to the upper limit of the capacity of the memory for storing the grid point information is referred to as Smax. As described above, the number of grid points required for a color conversion table in which the arrangement of grid points before color conversion is a cubic grid is N ^ 3, but this rarely matches Smax. Therefore, the upper limit Nmax of the number N of grid points per side of the color conversion table in which the arrangement of grid points before color conversion is a cubic grid is an integer that does not exceed the third root of Smax as in the following equation: Set to
Nmax = Floor [Smax ^ (1/3)]

For example, when Smax is 1200 in terms of component cost, Nmax of a color conversion table in which the arrangement of grid points before color conversion is a cubic grid is 10 as shown in the following equation.
Nmax = Floor [1200 ^ (1/3)] = 10

  Here, the upper limit of the number of grid points in the color conversion table in which the arrangement of grid points before color conversion is cubic is the cube of Nmax. Therefore, when Nmax is 10, the upper limit of the number of grid points in the color conversion table in which the arrangement of grid points before color conversion is a cubic grid is 1000.

  Therefore, the memory for storing the information on the grid points does not use a capacity corresponding to 1200-1000 = 100 grid points. Therefore, when using a color conversion table in which the arrangement of grid points before color conversion is a cubic grid, the maximum number of grid point information is stored in the memory storing the grid point information. Thus, the accuracy of the quality of the output image by the image forming apparatus is lowered.

  As described above, when the arrangement of grid points before color conversion is a cubic grid, the quality of the output image by the image forming apparatus is sufficiently accurate under the condition that the cost of parts of the image forming apparatus is limited. There is a problem that it may not be able to be secured.

  Accordingly, an object of the present invention is to provide a lattice point group generation method, a lattice point group generation program, and a lattice point group generation device that can improve the accuracy of the quality of an output image via a color conversion table. To do.

  The grid point group generation method of the present invention is a grid point group generation method for generating a group of grid points before color conversion in a color conversion table for converting colors in the color space of three channels into colors in another color space. The quotient obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table is divided by 12, and the number of terms is the same, and the basis is a positive integer of 2 or more. A number sequence generating step for generating three van der Corp sequences, and each of the six patterns in which each of the three van der Corp sequences generated by the number sequence generating step is associated with each of the three channels. A grid point generation step is also performed in which a grid point whose coordinates are the terms in the same order of two van der Corput sequences is generated, and a complementary grid point of this grid point is also generated. Characterized in that it comprises and.

  With this configuration, the grid point group generation method of the present invention generates a grid point group before color conversion in the color conversion table using a van der Corput sequence without arranging it in a cubic grid form. Under the condition where the memory capacity for storing information is limited, the number of grid points in the color conversion table can be increased as compared with the prior art. Therefore, the grid point cloud generation method of the present invention can improve the accuracy of the quality of the output image via the color conversion table as compared with the conventional technique.

  In the lattice point group generation method of the present invention, the number sequence generation step may be a step of generating the three van der Corp sequences having different bases.

  With this configuration, the grid point group generation method of the present invention improves the uniformity of the grid point arrangement using the same order terms in the three van der Corp columns as coordinates, so output via the color conversion table is possible. The uniformity of image quality accuracy can be improved.

  In the grid point group generation method of the present invention, the specific number is 8 or more, and the grid point generation step generates grid points corresponding to eight corners of the color space of the three channels. It may be.

  With this configuration, the grid point group generation method of the present invention generates grid points corresponding to the eight corners of the color space before color conversion. Therefore, intermediate data between grid points in the color conversion table is calculated by interpolation. In this case, it is possible to improve the accuracy of calculation of intermediate data in the vicinity of the corner of the color space before color conversion.

  The grid point group generation program of the present invention is a grid point group for generating a group of grid points before color conversion in a color conversion table for converting colors in the color space of three channels into colors in another color space. A positive integer having the same number of terms as the quotient obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table and the number of terms and the basis being 2 or more In each of the six patterns in which each of the three van der Corp sequences generated by the number sequence generating means and the three van der Corp sequences generated by the number sequence generating means is associated with each of the three channels. After generating a grid point with coordinates in the same order of the three van der Corp columns, a grid point complementary to this grid point is also generated. And characterized by causing a computer to function as a child point generating means.

  With this configuration, the grid point group generation program of the present invention generates a grid point group before color conversion in the color conversion table using a van der Corput sequence without arranging it in a cubic grid pattern. Under the condition where the memory capacity for storing information is limited, the number of grid points in the color conversion table can be increased as compared with the prior art. Therefore, the grid point group generation program of the present invention can improve the accuracy of the quality of the output image via the color conversion table as compared with the conventional one.

  A grid point group generation device according to the present invention generates a grid point group before color conversion in a color conversion table for converting colors in the color space of three channels into colors in another color space. The quotient obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table is divided by 12, and the number of terms is the same, and the basis is a positive integer of 2 or more. In each of the 6 patterns in which each of the three channels is associated with each of the three van der Corp sequences generated by the number sequence generating unit that generates three van der Corp sequences, and each of the three van der Corp sequences generated by the number sequence generating unit. Grid point generating means for generating a grid point having coordinates in the same order of terms of two van der Corp columns and generating a complementary grid point of the grid point And wherein the door.

  With this configuration, the grid point group generation device of the present invention generates a grid point group before color conversion in the color conversion table using a van der Corput sequence without arranging the grid points in a cubic grid form. Under the condition where the memory capacity for storing information is limited, the number of grid points in the color conversion table can be increased as compared with the prior art. Therefore, the grid point group generation apparatus of the present invention can improve the accuracy of the quality of the output image via the color conversion table as compared with the conventional technique.

  The grid point group generation method, grid point group generation program, and grid point group generation apparatus of the present invention can improve the accuracy of the quality of the output image via the color conversion table.

It is a block diagram of the color conversion table production | generation apparatus which concerns on one embodiment of this invention. FIG. 2 is a block diagram of an MFP that stores a color conversion table generated by the color conversion table generation device shown in FIG. 1. 2 is a flowchart of the operation of the color conversion table generating apparatus shown in FIG. 1 when generating a color conversion table. It is a flowchart of the lattice point group production | generation process shown in FIG. (A) It is a perspective view of the lattice point group produced | generated by the color conversion table production | generation apparatus shown in FIG. 1 when the three types of van der Corp sequences which are bases 2, 3, and 5 are produced | generated, respectively. (B) It is a perspective view of the lattice point group shown to Fig.5 (a) at the time of observing in the direction which goes to a black point from a white point. (A) It is a perspective view of the grid point group produced | generated by the color conversion table production | generation apparatus shown in FIG. 1 when the three types of van der Corp sequences which are 2, 3, and 9 are produced | generated, respectively. FIG. 7B is a perspective view of the lattice point group shown in FIG. 6A when observed in a direction from a white point toward a black point. 3 is a flowchart of a general conversion step of a color conversion process executed by the MFP shown in FIG. It is a flowchart at the time of making the conversion step shown in FIG. 7 into a single step. It is a flowchart which shows the color conversion process which outputs "the color space JCH in of an input device" used for the production | generation of the conversion step shown in FIG. It is a flowchart which shows the color conversion process which outputs "the color space JCH out of an output device" used for the production | generation of the conversion step shown in FIG. FIG. 6 is a perspective view of a tetrahedron group when observed from the same viewpoint as that in FIG. FIG. 7 is a perspective view of a tetrahedron group when observed from the same viewpoint as that in FIG. 3 is a flowchart of the operation of the MFP shown in FIG. 2 when executing printing. It is a flowchart of the color conversion process shown in FIG. It is a flowchart of the corresponding relationship search process shown in FIG. It is a flowchart of the interpolation process shown in FIG. It is a flowchart of the inclusion tetrahedron search process shown in FIG. It is a figure which shows the conventional color conversion table.

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

  First, the configuration of the color conversion table generation apparatus according to the present embodiment will be described.

  FIG. 1 is a block diagram of a color conversion table generation apparatus 10 according to the present embodiment. FIG. 2 is a block diagram of an MFP (Multifunction Peripheral) 20 that stores the color conversion table generated by the color conversion table generation apparatus 10.

  As shown in FIG. 1, a color conversion table generating apparatus 10 includes an operation unit 11 that is an input device such as a mouse and a keyboard to which various operations are input, and an LCD (Liquid Crystal Display) that displays various information. A display unit 12 that is a display device, a communication unit 13 that is a communication device that communicates with an external device via a network such as a LAN (Local Area Network), the Internet, and an HDD (an HDD that stores programs and various data) A storage unit 14 that is a storage device such as a hard disk drive) and a control unit 15 that controls the entire color conversion table generation apparatus 10. The color conversion table generation apparatus 10 is configured by a computer such as a PC (Personal Computer).

  The storage unit 14 can store a color conversion table 14a for the MFP 20 (see FIG. 2) for converting colors in the RGB color space into colors in the CMYK color space.

  The storage unit 14 stores a lattice point group generation program 14b for generating a group of lattice points before color conversion in the color conversion table 14a. The grid point group generation program 14b may be installed in the color conversion table generation apparatus 10 at the manufacturing stage of the color conversion table generation apparatus 10, or a CD (Compact Disk), a DVD (Digital Versatile Disk), or a USB (Universal Serial). It may be additionally installed in the color conversion table generating apparatus 10 from an external storage medium such as a memory, or may be additionally installed in the color conversion table generating apparatus 10 from the network.

  The control unit 15 includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory) that stores programs and various data in advance, and a RAM (Random Access Memory) that is used as a work area of the CPU of the control unit 15. ). The CPU of the control unit 15 executes a program stored in the ROM of the control unit 15 or the storage unit 14.

  The control unit 15 executes the grid point group generation program 14b stored in the storage unit 14 to obtain 12 by subtracting a specific number from the maximum number of grid points that can be allocated for the color conversion table 14a. A sequence generator 15a for generating three van der Corput sequences having the same number of quotients and the number of terms and a base being a positive integer of 2 or more, and three van der Corp generated by the sequence generator 15a In each of the six patterns in which each of the columns is associated with each of the three channels of the RGB color space, after generating a grid point with coordinates in the same order of the three van der Corp columns, this grid point It functions as a grid point generation means 15b that also generates grid points of complementary colors.

  Next, the configuration of the MFP 20 shown in FIG. 2 will be described.

  FIG. 2 is a block diagram of MFP 20 according to the present embodiment.

  As shown in FIG. 2, the MFP 20 reads an image by an operation unit 21 that is an input device such as a button for inputting various operations, a display unit 22 that is a display device such as an LCD that displays various information, and the like. A scanner 23 that is a reading device, a printer 24 that is a printing device that executes printing on a recording medium such as paper, and a fax device that performs fax communication with an external facsimile apparatus (not shown) via a communication line such as a public telephone line A communication unit 26 that is a communication device that communicates with an external device via a network such as a LAN or the Internet, and a storage device such as a semiconductor memory or HDD that stores various data. A storage unit 27 and a control unit 28 that controls the entire MFP 20 are provided.

  The storage unit 27 can store a color conversion table 27a for converting colors in the RGB color space into colors in the CMYK color space.

  The control unit 28 includes, for example, a CPU, a ROM that stores programs and various data, and a RAM that is used as a work area for the CPU of the control unit 28. The CPU of the control unit 28 executes a program stored in the ROM of the control unit 28 or the storage unit 27.

  Next, the operation of the color conversion table generation device 10 will be described.

  FIG. 3 is a flowchart of the operation of the color conversion table generation apparatus 10 when generating the color conversion table 14a.

  As shown in FIG. 3, the control unit 15 executes a grid point group generation process for generating a group of grid points before color conversion in the color conversion table 14a (S101).

  FIG. 4 is a flowchart of the lattice point group generation processing shown in FIG.

  As shown in FIG. 4, the sequence generator 15a of the control unit 15 obtains the maximum number Smax of grid points that can be allocated for the color conversion table 14a in the storage unit 27 of the MFP 20 (S111).

Next, the sequence generator 15a calculates a quotient n obtained by dividing the number obtained by subtracting 8 from Smax obtained in S111 by 12 as shown in the following equation (S112).
n = Floor [(Smax-8) / 12]

  Next, the number sequence generation unit 15a generates three types of van der Corp sequences whose number of terms is the same as that of n calculated in S112 and whose base is a positive integer of 2 or more (S113).

  Next, the grid point generation means 15b of the control unit 15 nests the three types of van der Corp columns generated in S113 and performs matrix transformation to obtain an array of “n rows and 3 columns”, thereby obtaining the same number as the quotient n A three-dimensional point group is generated (S114).

  Next, the grid point generation unit 15b generates, as part of the grid point group of the color conversion table 14a, a map point group obtained by exchanging the channels of the RGB color space and combining the three-dimensional point group generated in S114. (S115).

  Next, the grid point generation unit 15b generates a grid point group that is complementary to the grid point group generated in S115 as a part of the grid point group of the color conversion table 14a (S116). For example, if the grid point generated in S115 is {r, g, b}, the grid point generation unit 15b uses {1-r, 1-g, 1-b} as the complementary color grid point group. Generate.

  Next, the grid point generation unit 15b has eight corners of the RGB color space, that is, {r, g, b} are {0, 0, 0}, {0, 0, 1}, {0, 1, 0, respectively. }, {0, 1, 1}, {1, 0, 0}, {1, 0, 1}, {1, 1, 0}, {1, 1, 1}, color conversion It is generated as a part of the grid point group of the table 14a (S117), and the operation shown in FIG.

基底が３の場合のｖａｎ ｄｅｒ Ｃｏｒｐｕｔ列

基底が５の場合のｖａｎ ｄｅｒ Ｃｏｒｐｕｔ列

基底が７の場合のｖａｎ ｄｅｒ Ｃｏｒｐｕｔ列

基底が９の場合のｖａｎ ｄｅｒ Ｃｏｒｐｕｔ列

As the van der Corp sequence generated by the sequence generator 15a in S113, for example, any of the following van der Corp sequences can be adopted.
Van der Corp column when base is 2

Van der Corp column when base is 3

Van der Corp column when base is 5

Van der Corp column when base is 7

Van der Corp column when base is 9

For example, when three types of van der Corp sequences having bases of 2, 3, and 5 are generated in S113 by the sequence generation unit 15a, the lattice point generation unit 15b uses the three-dimensional point group shown in Equation 6 in S114. Generate. Here, the RGB color space has three channels of R value, G value, and B value, and the combination (exchange) pattern of the three channels is {r, g, b}, {r, b, g} , {G, r, b}, {g, b, r}, {b, r, g}, and {b, g, r} exist. Therefore, when the {r, g, b} pattern is associated with the three-dimensional point group shown in Equation 6 in S115, the lattice point generating means 15b uses the mapping point group {r, g, b} shown in Equation 6 as the color. It is generated as a part of the grid point group of the conversion table 14a. In addition, when the pattern of {r, b, g} is associated with the three-dimensional point group shown in Equation 6 in S115, the lattice point generation unit 15b uses the mapping point group {r, g, b} shown in Equation 7 as a color. It is generated as a part of the grid point group of the conversion table 14a. In addition, when the grid point generation unit 15b associates the pattern of {g, r, b} with the three-dimensional point group shown in Formula 6 in S115, the grid point generation unit 15b uses the mapping point group {r, g, b} shown in Formula 8 as a color It is generated as a part of the grid point group of the conversion table 14a. In addition, when the {g, b, r} pattern is associated with the three-dimensional point group shown in Equation 6 in S115, the lattice point generating unit 15b uses the mapping point group {r, g, b} shown in Equation 9 as the color. It is generated as a part of the grid point group of the conversion table 14a. Further, when the pattern of {b, r, g} is associated with the three-dimensional point group shown in Equation 6 in S115, the lattice point generation unit 15b uses the mapping point group {r, g, b} shown in Equation 10 as the color. It is generated as a part of the grid point group of the conversion table 14a. Further, when the pattern of {b, g, r} is associated with the three-dimensional point group shown in Equation 6 in S115, the lattice point generating means 15b uses the mapping point group {r, g, b} shown in Equation 11 as the color. It is generated as a part of the grid point group of the conversion table 14a. In other words, the grid point generation unit 15b associates each of the three types of van der Corp sequences generated in S113 by the sequence generation unit 15a with each of the three channels including the R value, the G value, and the B value. In each of the above, lattice points having coordinates in the same order terms of the three types of van der Corp sequences are generated. Therefore, when three types of van der Corp sequences having bases 2, 3, and 5 are generated in S113 by the sequence generator 15a, the lattice point group generated by the lattice point generator 15b in S115 to S117 is It is a lattice point group shown in FIG.

  FIG. 5A is a perspective view of the lattice point group 31 generated when three types of van der Corp sequences having bases 2, 3, and 5 are generated, respectively. FIG. 5B shows the lattice shown in FIG. 5A when observed in the direction from the white {1, 1, 1} point toward the black {0, 0, 0} point. 3 is a perspective view of a point group 31. FIG.

  By exchanging the channel information of the coordinates of the lattice points in the processing of S115, the lattice point group 31 is converted into red (red), green (green), blue (blue), cyan (as shown in FIG. 5B). Cyan), magenta (magenta), and yellow (yellow) are formed symmetrically with respect to each hue surface of the basic six hues.

  Here, a van der Corp sequence that is expanded in a multidimensional prime number is called a Halton sequence. Therefore, S114 based on three types of van der Corp sequences whose bases are prime numbers, such as the three-dimensional point group generated in S114 based on three types of van der Corp sequences whose bases are 2, 3, 5 respectively. The three-dimensional point group generated in is a Halton sequence. The Halton sequence is preferable because it has high randomness and can improve the uniformity of the arrangement of lattice points. However, even if the randomness is reduced and the crystal structure appears in the arrangement of the lattice points, the lattice point generation means 15b replaces the channel information of the coordinates of the lattice points in the processing of S115, thereby The grid point group is arranged so as to be symmetric with respect to the hue plane, and further, the grid point group of the complementary color of the grid point group arranged in the process of S115 is also arranged in the process of S116. Can be secured. Therefore, the bases of the three types of van der Corp sequences generated in S113 do not have to be prime numbers. For example, FIG. 6 shows a grid point group generated when three types of van der Corp sequences having bases 2, 3, and 9 are generated, respectively.

  FIG. 6A is a perspective view of the lattice point group 32 generated when three types of van der Corp sequences having bases 2, 3, and 9 are generated, respectively. FIG. 6B is a perspective view of the lattice point group 32 shown in FIG. 6A when observed in the direction from the white point toward the black point.

  By exchanging the channel information of the coordinates of the lattice points in the process of S115, the lattice point group 32 has the basic six hues consisting of red, green, blue, cyan, magenta and yellow as shown in FIG. It is formed symmetrically with respect to each hue plane.

  As illustrated in FIG. 3, when the lattice point group generation processing in S101 ends, the control unit 15 calculates an output value (CMYK value) corresponding to each lattice point of the lattice point group generated by the lattice point group generation processing. (S102).

  The output value (CMYK value) corresponding to each grid point of the grid point group generated by the grid point group generation process is “LUT (Lookup Table) that records the relationship between the color value measured in advance and the colorimetric value”. Or a “color conversion LUT composed of a fine mesh created in advance”.

  First, an output value (CMYK value) corresponding to each grid point of the grid point group generated by the grid point group generation process is obtained from “LUT that records the relationship between the color value measured in advance and the colorimetric value”. A method for obtaining by reverse calculation will be described.

  “LUT that records the relationship between color values measured in advance and colorimetric values” is a color patch in which CMYK values of various color values are set (which may be a predetermined interval or random, but is usually classified by Bk. A color patch in which CMYK values are set at predetermined discrete intervals in a possible form) is printed by the MFP 20, and the color of the printed color patches is measured and converted into XYZ values (CMYK to XYZ conversion). . The “LUT in which the relationship between the color value measured in advance and the colorimetric value is recorded” is an LUT used for developing the color conversion table 14a, and is not an LUT mounted on the MFP 20. Therefore, unlike the color conversion table 14a, the “LUT that records the relationship between the color values measured in advance and the colorimetric values” has no particular limitation on the memory capacity in which it is stored. The value includes a correspondence relationship with the XYZ value.

  The LUT obtained by reversely calculating “LUT that records the relationship between the color value measured in advance and the colorimetric value” is an LUT that converts an XYZ value into a CMYK value (XYZ to CMYK conversion).

  Here, the XYZ values corresponding to the respective lattice points (RGB values) of the lattice point group generated by the lattice point group generation processing can be recognized by the LUT (RGB to XYZ conversion). Accordingly, each of the lattice point groups generated by the lattice point group generation process is combined with an LUT (XYZ to CMYK conversion) obtained by calculating back the “LUT in which the relationship between the color value measured in advance and the colorimetric value is recorded”. An output value (CMYK value) corresponding to the grid point can be obtained (RGB to CMYK conversion).

  Next, a method of obtaining an output value (CMYK value) corresponding to each grid point of the grid point group generated by the grid point group generation process by “color conversion LUT composed of fine meshes created in advance” Will be described.

  The “color conversion LUT composed of fine meshes created in advance” is an LUT indicating an output value (CMYK value) corresponding to an input value (RGB value) in the MFP 20 (RGB to CMYK conversion). The “color conversion LUT composed of fine meshes created in advance” is an LUT used for development of the color conversion table 14a, and is not an LUT mounted on the MFP 20. Therefore, unlike the color conversion table 14a, the “color conversion LUT composed of fine meshes created in advance” is not particularly limited in the capacity of the memory in which it is stored. On the other hand, a correspondence relationship with CMYK values is included.

  The “color conversion LUT composed of fine meshes created in advance” is shown in FIG. 8 in which a plurality of multi-stage LUT processes as shown in FIG. 7 are performed or some or all of these intermediate processes are summarized. Such LUT processing is performed.

  Here, the LUT process shown in FIG. 7 will be described.

  FIG. 7 is a flowchart of a general conversion step in the color conversion process.

  In the color conversion process shown in FIG. 7, the color space of the input color is rarely in the CMYK format for use in an office machine such as an MFP, but is basically in the RGB format.

S161 is an F-DM (Forward Device Model) conversion step, which is a step of converting RGB format data into the CIE-XYZ space. For example, if an sRGB space is assumed as the RGB format, conversion may be performed according to the definition.
(SRGB to XYZ conversion)

S162 is an F-CAM (color appearance model) conversion step, for example, a step of conversion from CIE-XYZ space to CIE-CAM02 space. Convert (according to environmental conditions) according to the definition of CIE-CAM02.
(XYZ to JCH conversion)

S163 is a GMA (gamut mapping algorithm) conversion step. Various methods have already been proposed by many companies or researchers, and among them, a suitable method may be selected and applied from the purpose, conditions, preferences, characteristics of the output device, and the like.
(JCH to J'C'H 'conversion)

S164 is a black amount generation step, in which the black amount is defined according to the JCH value after the GMA conversion in S163, and is determined by calculation. Various precedents have already been proposed by many companies and researchers, and a suitable one may be selected from the purpose, conditions, preferences, characteristics of the output device, and the like.
(J'C'H 'to (J'C'H' + K) conversion)

S165 is a B (backward) -CAM conversion step, in which parameters are set and converted according to the output or observation environment. What is necessary is just to convert according to the definition formula of a color appearance model.
((J'C'H '+ K) to (XYZ + K) conversion)

  Note that the order of S164 and S165 may be reversed, and there is such a conversion type. In the present invention, the order of S164 and S165 is hardly affected, and therefore the order of S164 and S165 may be any.

S166 is a B-DM (backward device model) conversion step, and returns the device-independent value (XYZ) to the output device value.
((XYZ + K) to (CMY + K) conversion)

  S166 measures a patch obtained by dividing each channel of CMYK in advance by dividing the channel into m × m × m × m, for example, and obtains K-CMY to XYZ conversion data in a K-layered state. The BK layer-specific K-XYZ to K-CMY LUT may be generated by calculating backward in another state.

  In the color conversion step shown in FIG. 7, the color space of the output color is in the CMYK format.

  FIG. 7 schematically shows how each process is converted in multistage steps. However, a part of each process of S161 to S166 shown in FIG. 7 may be synthesized or separated, or all of the processes of S161 to S166 may be synthesized to perform a single step (S171) as shown in FIG. An LUT for converting from the RGB format to the CMYK format may be used.

  A method for generating the color conversion process shown in FIG. 7 will be described.

  The color conversion process shown in FIG. 9 outputs “input device color space JCH in” by the same processes as S161 to S162 of the color conversion process shown in FIG.

  The color conversion process shown in FIG. 10 is a color patch in which CMYK values of various color values are set (may be predetermined intervals or random, but in most cases CMYK values are set at predetermined discrete intervals in a form that can be stratified by Bk. The color patch) is printed by the MFP 20, and the color of the printed color patch is measured and converted into an XYZ value (S191), and the brightness, saturation, and hue are measured using a color appearance model that matches the XYZ value with environmental conditions. (S192), and outputs “output device color space JCH out”.

  Then, the “input device color space JCH in” obtained through the color conversion step shown in FIG. 9 is matched with the “output device color space JCH out” obtained through the color conversion step shown in FIG. An LUT that sets corresponding points and performs the conversion process (S163 in FIG. 7) and an LUT that sets Bk values for reproducing the corresponding points (S164 in FIG. 7) are obtained.

  Generally, the “input device color space JCH in” and the “output device color space JCH out” have different sizes and shapes. Therefore, many methods (GMA: gamut mapping algorithm) have been proposed in the past as to how each point in the color space of the input device is associated with a point in the color space of the output device. ing. Therefore, when associating each point in the color space of the input device with a point in the color space of the output device, one of the many methods proposed in the past is appropriate for the purpose, application, or conditions. May be selected and adopted (S163 in FIG. 7).

  Various methods have been proposed in the past for generating the black amount, so that an appropriate one may be selected and used according to the purpose, application, or conditions (S164 in FIG. 7).

  The color conversion process (S161 and S162) shown in FIG. 9, S163 and S164 obtained as described above, and the inverse conversion LUT (S165 and S166) based on the reverse calculation (reverse search) of the color conversion process shown in FIG. FIG. 7 shows a diagram from input to output.

  As shown in FIG. 3, when the process of S102 ends, the control unit 15 divides the entire color gamut before color conversion by the color conversion table 14a into tetrahedron groups (S103).

  In S103, the tetrahedron of the tetrahedron group is formed by four adjacent lattice points among the lattice points of the lattice point group. In particular, when a circumscribed sphere of four selected grid points is considered, a tetrahedron group is generated and a tetrahedron group is formed so that no other grid point enters the circumscribed sphere. good. For example, the tetrahedron group generated in S103 is a tetrahedron group configured by a three-dimensional Delaunay network. Here, a three-dimensional Delaunay network may be generated by using an appropriate method from known generation methods. That is, the tetrahedron group may be obtained by developing it in a three-dimensional space in the same way as drawing a Delaunay diagram on a two-dimensional surface.

  For example, when the tetrahedron group is plotted against the lattice point group 31 shown in FIG. 5, the result is as shown in FIG. FIG. 11 is a perspective view of the tetrahedron group 41 when observed from the same viewpoint as that in FIG.

  Moreover, when the tetrahedron group is plotted with respect to the lattice point group 32 shown in FIG. 6, it becomes as shown in FIG. FIG. 12 is a perspective view of the tetrahedron group 42 when observed from the same viewpoint as that in FIG.

The coordinates of the constituent points of the tetrahedrons constituting the tetrahedron group generated in S103 are as shown in Equation 12, for example.

  As illustrated in FIG. 3, when the process of S103 is completed, the control unit 15 performs the grid point group generated in the grid point group generation process of S101, the output value calculated in S102, and the tetrahedron group divided in S103. Is generated (S104), and the operation shown in FIG.

  The color conversion table 14a generated in the operation shown in FIG. 3 is read from the color conversion table generation apparatus 10 by some method such as communication via a network and stored in the MFP 20 as the color conversion table 27a.

  In the above, the tetrahedron group is included in the color conversion table 14a, but the tetrahedron group may not be included in the color conversion table 14a. When the tetrahedron group is not included in the color conversion table 14a, the MFP 20 may generate the tetrahedron group by the same processing as in S103 based on the lattice point group included in the color conversion table 14a.

  Next, the operation of the MFP 20 will be described.

  FIG. 13 is a flowchart of the operation of the MFP 20 when executing printing.

  As illustrated in FIG. 13, the control unit 28 of the MFP 20 executes a color conversion process for converting an input image in RGB format into an output image in CMYK format that is supported by the printer 24a as an output device (S201).

  FIG. 14 is a flowchart of the color conversion process in S201.

  As illustrated in FIG. 14, the control unit 28 targets RGB values that are not yet targeted among color values (RGB values) that form an input image in RGB format (S <b> 231).

  Next, the control unit 28 executes a correspondence search process for searching for the correspondence between the RGB values targeted in S231 and the CMYK values. (S232).

  FIG. 15 is a flowchart of the correspondence search process in S232.

  As shown in FIG. 15, the control unit 28 determines whether or not the target RGB value is a grid point before color conversion in the color conversion table 27a (S261).

  When the control unit 28 determines in S261 that the target RGB value is a grid point before color conversion in the color conversion table 27a, the control unit 28 corresponds to the target RGB value among the grid points before color conversion in the color conversion table 27a. The conversion value (CMYK value) associated with the grid point is specified as the CMYK value corresponding to the target RGB value (S262), and the correspondence search process shown in FIG. 15 is terminated.

  When the control unit 28 determines in S261 that the target RGB value is not a grid point before color conversion in the color conversion table 27a, that is, a point between grid points, the control value (CMYK) corresponding to the target RGB value is determined. An interpolation process for converting (value) is executed (S263).

  FIG. 16 is a flowchart of the interpolation process in S263.

  As shown in FIG. 16, the control unit 28 executes an inclusion tetrahedron search process for searching for a tetrahedron including the target RGB value from the tetrahedron group included in the color conversion table 27a (S301).

  FIG. 17 is a flowchart of the inclusion tetrahedron search process in S301.

  As illustrated in FIG. 17, the control unit 28 targets a tetrahedron that has not been targeted yet among the tetrahedron group included in the color conversion table 27 a (S <b> 331).

  Next, the control unit 28 selects any two points (hereinafter referred to as points A and B) among the four points (hereinafter referred to as “point A, point B, point C, and point D”) constituting the target tetrahedron. Is selected) (S332).

  Next, the control unit 28 uses the line segment formed by the two points (point A and point B) selected in S332 as the base, the target RGB value point (hereinafter referred to as point X), and the target tetrahedron. 1 point other than the 2 points selected in S332 (hereinafter referred to as point C), and the remaining 1 point other than the 2 points selected in S332 among the 4 points constituting the target tetrahedron. Normal vectors of three planes including triangles each having a vertex (hereinafter referred to as point D) are calculated (S333). Here, the normal vector of a plane including a triangle is an outer product of two vectors starting from one point and ending at the other two points out of three points (for example, three vertices of the triangle) constituting this plane. It can be calculated by calculating.

  Next, the control unit 28 determines whether or not the angle of the plane including the triangle with the point of the target RGB value as the vertex among the three angles calculated in S333 is between the angles of the remaining two planes. Determination is made (S334).

  Next, the control unit 28 selects two points (point C and point D) that were not selected in S332 among the four points (point A, point B, point C, and point D) constituting the target tetrahedron. (S335).

  Next, the control unit 28 uses the line segment formed by the two points (point C and point D) selected in S335 as the base, the target RGB value point (point X), and the four points constituting the target tetrahedron. 1 point other than the two points selected in S335 (hereinafter referred to as point A), and the remaining one point (hereinafter referred to as point B) other than the two points selected in S335 among the four points constituting the target tetrahedron. ) Are calculated as normal vectors of three planes each including a triangle whose vertex is (S336).

  Next, the control unit 28 determines whether or not the angle of the plane including the triangle with the target RGB value point as the vertex among the three angles calculated in S336 is between the angles of the remaining two planes. Determination is made (S337).

  Next, the control unit 28 determines whether or not it is determined that the determination is between both the determination in S334 and the determination in S337 (S338).

  If the control unit 28 determines in S338 that it is determined that the determination is not between both determinations, the control unit 28 executes the process of S331.

  When the control unit 28 determines in S338 that it is determined that the determination is between both determinations, the control unit 28 identifies the target tetrahedron as the tetrahedron including the target RGB values (S339), and includes the inclusion tetrahedron illustrated in FIG. The body search process is terminated.

  Note that the inclusion tetrahedron search process shown in FIG. 17 employs a method of searching for a tetrahedron containing the target RGB value based on the angle between the planes in this embodiment. However, a method other than the method shown in FIG. 17 may be employed as the inclusion tetrahedron search process in S301. For example, it is determined whether or not the target RGB value point is on the front side of each plane by using the outer product for the four planes constituting the tetrahedron, and is on the front side in all planes. A method of specifying a tetrahedron that includes the target RGB values may be adopted on the condition of.

  As illustrated in FIG. 16, after the inclusion tetrahedron search process in S301, the control unit 28 determines the target RGB value based on the ratio by which the points of the target RGB value volume-divide the tetrahedron searched in S301. The conversion value (CMYK value) corresponding to is calculated (S302).

For example, the control unit 28 uses the tetrahedron searched in S301 (hereinafter, composed of point E, point F, point G, and point H) as the four triangles that form the tetrahedron searched in S301. Are four tetrahedrons (triangular pyramids) having a base of (ΔFGH, ΔEGH, ΔEFH and ΔEFG) and a point of the target RGB value (point X), that is, tetrahedron X-FGH, Divide into X-EGH, X-EFH and X-EFG. When the volumes of tetrahedron X-FGH, X-EGH, X-EFH, and X-EFG are Ve, Vf, Vg, and Vh, respectively, and the sum thereof, that is, the volume of the tetrahedron EFGH is Vs, the control unit 28 is , The conversion value (CMYK value) corresponding to the target RGB value can be calculated. In Equation 13, Xcmyk is a conversion value (CMYK value) corresponding to the target RGB value. Ecmyk, Fcmyk, Gcmyk, and Hcmyk are conversion values (CMYK values) corresponding to the points E, F, G, and H, respectively.

Note that Ve, Vf, Vg, and Vh may be obtained, for example, as shown in Equation 14, Equation 15, Equation 16, and Equation 17, respectively. Vs may be obtained as the sum of Ve, Vf, Vg, and Vh, or may be obtained as shown in Equation 18, for example.

  As shown in FIG. 16, the control unit 28 ends the interpolation process shown in FIG. 16 after the process of S302.

  In addition, although the interpolation process shown in FIG. 16 is a tetrahedral interpolation system in this Embodiment, systems other than a tetrahedral interpolation system may be used. For example, the interpolation process may be a hexahedral interpolation method or a triangular prism interpolation method.

  As illustrated in FIG. 15, the control unit 28 ends the correspondence search process illustrated in FIG. 15 after the interpolation process in S263.

  As shown in FIG. 14, the control unit 28 determines whether or not there is an RGB value that is not yet a target among the RGB values that form the input image in the RGB format after the correspondence search process of S232 ( S233).

  If the control unit 28 determines in S233 that there is an RGB value that is not yet a target among the RGB values forming the input image in the RGB format, the control unit 28 executes the process of S231.

  If the control unit 28 determines in S233 that there are no RGB values that are not yet targeted among the RGB values forming the input image in the RGB format, the correspondence between the RGB values and the CMYK values retrieved by the correspondence relationship retrieval process in S232 is determined. Based on the relationship, the input image in RGB format is converted into an output image in CMYK format (S234), and the color conversion processing shown in FIG. 14 is terminated.

  As shown in FIG. 13, after the color conversion process of S201, the control unit 28 executes printing on the recording medium by the printer 24 based on the output image in the CMYK format generated in S201 (S202). End the indicated operation.

  As described above, the color conversion table generation device 10 generates a group of grid points before color conversion in the color conversion table 14a using a van der Corp sequence without arranging them in a cubic grid pattern (S112 to S112). S116), the number of grid points in the color conversion table 14a can be increased as compared with the prior art under the condition that the memory capacity for storing the grid point information is limited. Therefore, the color conversion table generation apparatus 10 can improve the accuracy of the quality of the output image via the color conversion table 14a.

  Since the color conversion table generation device 10 generates three van der Corp columns with different bases, the uniformity of the arrangement of grid points with the same order terms in the three van der Corp columns as coordinates is improved. be able to. Therefore, the color conversion table generating apparatus 10 can improve the uniformity of the quality of the output image via the color conversion table 14a.

  Note that the color conversion table generation apparatus 10 may generate three van der Company columns having the same at least two bases. When at least two bases generate the same three van der Corp sequences, the randomness is reduced and the crystal structure is less in the arrangement of lattice points than the configuration of generating three van der Corp sequences with different bases. Easy to appear. However, even if the randomness is reduced and the crystal structure appears in the arrangement of the lattice points, the color conversion table generating apparatus 10 exchanges the channel information of the coordinates of the lattice points in the processing of S115, thereby changing the basic six hues. The grid point group is arranged so as to be symmetric with respect to each hue plane, and further, the grid point group of the complementary color of the grid point group arranged in the process of S115 is also arranged in the process of S116. Sex can be secured.

  Since the color conversion table generation device 10 generates grid points corresponding to the eight corners of the color space before color conversion (S117), the intermediate data between the grid points of the color conversion table 14a is calculated by interpolation. In addition, it is possible to improve the accuracy of calculation of intermediate data in the vicinity of the corner of the color space before color conversion.

  The image forming apparatus that uses the color conversion table generated by the color conversion table generating apparatus 10 is an MFP in the present embodiment, but may be an image forming apparatus other than the MFP, such as a dedicated printer.

10 color conversion table generator (grid point cloud generator)
14a Color conversion table 14b Lattice point group generation program 15a Number sequence generation means 15b Lattice point generation means 27a Color conversion table 31 Lattice point group 32 Lattice point group

Claims (5)

A grid point group generation method for generating a group of grid points before color conversion in a color conversion table for converting a color of a color space of three channels into a color of another color space,
A van der Corporation column in which the number of terms obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table is divided by 12, and the number of terms is the same, and the basis is a positive integer of 2 or more. Generating a sequence of three numbers,
In each of the six patterns in which each of the three van der Corp sequences generated by the sequence generation step is associated with each of the three channels, the terms in the same order of the three van der Corp sequences are coordinated. A grid point generation step of generating a grid point complementary to the grid point after generating the grid point.   The grid point group generation method according to claim 1, wherein the number sequence generation step is a step of generating the three van der Corp sequences having different bases. The specific number is 8 or more;
The grid point group generation method according to claim 1, wherein the grid point generation step is a step of generating grid points corresponding to eight corners of the color space of the three channels. A grid point group generation program for generating a group of grid points before color conversion in a color conversion table for converting colors in the color space of three channels to colors in another color space,
A van der Corporation column in which the number of terms obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table is divided by 12, and the number of terms is the same, and the basis is a positive integer of 2 or more. A sequence generating means for generating three, and
In each of the six patterns in which each of the three van der Corp sequences generated by the sequence generator is associated with each of the three channels, the terms in the same order of the three van der Corp sequences are coordinated. A grid point group generation program which causes a computer to function as grid point generation means for generating a grid point complementary to the grid point after generating the grid point. A grid point group generation device that generates a group of grid points before color conversion in a color conversion table for converting colors in a color space of three channels into colors in another color space,
A van der Corporation column in which the number of terms obtained by subtracting a specific number from the maximum number of grid points that can be assigned for the color conversion table is divided by 12, and the number of terms is the same, and the basis is a positive integer of 2 or more. A number sequence generating means for generating three,
In each of the six patterns in which each of the three van der Corp sequences generated by the sequence generator is associated with each of the three channels, the terms in the same order of the three van der Corp sequences are coordinated. A grid point group generation apparatus comprising: grid point generation means for generating a grid point complementary to the grid point after generating the grid point.

Images