US5588050A — Method and apparatus for performing color convers…

Claim 1

Independent Claim 258 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (e) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 2

Dependent Claim 258 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (e) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 3

Dependent Claim 17 words

The method of claim 1, wherein said predetermined matrix calculation is represented by the following formula: ##EQU39##

Claim 4

Dependent Claim 14 words

The method of claim 1, wherein said predetermined matrix calculation is represented by ##EQU40##

Claim 5

Dependent Claim 22 words

The method of claim 1, wherein said predetermined matrix calculation is represented by the following formula: ##EQU41## where σ=(r+c,) (g+m) or (b+y).

Claim 6

Dependent Claim 46 words

The method of claim 1, wherein the step (a) generates complementary color data Ci, Mi and Yi from the first image data R, G, B for each pixel of an image generated by the display device, the display device being one of a CRT and LCD.

Claim 7

Dependent Claim 45 words

The method of claim 1, wherein the step (a) generates complementary color data Ci, Mi and Yi from the first image data R, G, B for each pixel of an image generated by the information processing device, the information processing device being a personal computer.

Claim 8

Dependent Claim 49 words

The method of claim 1, wherein the step (a) generates complementary color data Ci, Mi and Yi from the first image data R, G, B for each pixel of an image generated by the image reproducing device, the image reproducing device being one of a scanner and a printer.

Claim 9

Dependent Claim 257 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (e) determining second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 10

Dependent Claim 257 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (e) determining second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 11

Dependent Claim 17 words

The method of claim 8, wherein said predetermined matrix calculation is represented by the following formula: ##EQU42##

Claim 12

Dependent Claim 17 words

The method of claim 8, wherein said predetermined matrix calculation is represented by the following formula ##EQU43##

Claim 13

Dependent Claim 22 words

The method of claim 8, wherein said predetermined matrix calculation is represented by the following formula ##EQU44## where σ=(r+c), (g+m) or (b+y).

Claim 14

Dependent Claim 217 words

An image processing method used by a color conversion apparatus for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor or sensors of a scanner, to produce color-separated data Rout, Gout, and Bout, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) determining a minimum value α and a maximum value β of the sensor data Rin, Gin, and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) (b) generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, and Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α (c) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (d) determining color-separated data Rout, Gout, Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 15

Dependent Claim 217 words

An image processing method used by a color conversion apparatus for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor or sensors of a scanner, to produce color-separated data Rout, Gout, and Bout, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) determining a minimum value α and a maximum value β of the sensor data Rin, Gin, and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) (b) generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, and Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α (c) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (d) determining color-separated data Rout, Gout, Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 16

Dependent Claim 18 words

The method of claim 12, wherein said predetermined a matrix calculation is represented by the following formula: ##EQU45##

Claim 17

Dependent Claim 14 words

The method of claim 12, wherein said predetermined matrix calculation is represented by ##EQU46##

Claim 18

Dependent Claim 20 words

The method of claim 12, wherein said predetermined matrix calculation by the following formula: ##EQU47## where σ=(r+c), (g+m) or (b+y).

Claim 19

Dependent Claim 218 words

An image processing method used by a color conversion apparatus for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor or sensors of a scanner, to produce color-separated data Rout, Gout, and Bout, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) determining a minimum value e and a maximum value β of the sensor data Rin, Gin, and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) (b) generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, and Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Rin-α m=Gin-α c=Bin-α (c) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (d) determining color-separated data Rout, Gout, and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 20

Dependent Claim 218 words

An image processing method used by a color conversion apparatus for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor or sensors of a scanner, to produce color-separated data Rout, Gout, and Bout, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) determining a minimum value e and a maximum value β of the sensor data Rin, Gin, and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) (b) generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, and Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Rin-α m=Gin-α c=Bin-α (c) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (d) determining color-separated data Rout, Gout, and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 21

Dependent Claim 17 words

The method of claim 16, wherein said predetermined matrix calculation is represented by the following formula: ##EQU48##

Claim 22

Dependent Claim 17 words

The method of claim 16, wherein said predetermined matrix calculation is represented by the following formula: ##EQU49##

Claim 23

Dependent Claim 22 words

The method of claim 16, wherein said predetermined matrix calculation is represented by the following formula: ##EQU50## where σ=(r+c), (g+m) or (b+y).

Claim 24

Dependent Claim 280 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M, Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) separating the minimum value α into the second image data K and remainder data α-K; (e) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (f) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 25

Dependent Claim 280 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M, Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum β value, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) separating the minimum value α into the second image data K and remainder data α-K; (e) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and (f) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 26

Dependent Claim 17 words

The method of claim 20, wherein said predetermined matrix calculation is represented by the following formula: ##EQU51##

Claim 27

Dependent Claim 17 words

The method of claim 20, wherein said predetermined matrix calculation is represented by the following formula: ##EQU52##

Claim 28

Dependent Claim 22 words

The method of claim 20, wherein said predetermined matrix calculation is represented by the following formula: ##EQU53## wherein σ=(r+c), (g+m) or (b+y).

Claim 29

Dependent Claim 280 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) separating the minimum valued α into the second image data K and remainder data α-K; (e) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (f) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 30

Dependent Claim 280 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said method comprising the steps of: (a) generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) (c) generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α (d) separating the minimum valued α into the second image data K and remainder data α-K; (e) generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and (f) determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 31

Dependent Claim 16 words

The method of claim 24, wherein said predetermined calculation is represented by the following formula: ##EQU54##

Claim 32

Dependent Claim 16 words

The method of claim 24, wherein said predetermined calculation is represented by the following formula: ##EQU55##

Claim 33

Dependent Claim 21 words

The method of claim 24, wherein said predetermined calculation is represented by the following formula: ##EQU56## wherein σ=(r+c), (g+m) or (b+y).

Claim 34

Dependent Claim 236 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 35

Dependent Claim 236 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi, and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 36

Dependent Claim 17 words

The device of claim 28, wherein said predetermined matrix calculation is represented by the following formula: ##EQU57##

Claim 37

Dependent Claim 17 words

The device of claim 28, wherein said predetermined matrix calculation is represented by the following formula: ##EQU58##

Claim 38

Dependent Claim 22 words

The device of claim 28, wherein said predetermined matrix calculation is represented by the following formula: ##EQU59## wherein σ=(r+c), (g+m) or (b+y).

Claim 39

Dependent Claim 235 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 40

Dependent Claim 235 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M and Y expressed by three colors cyan, magenta and yellow, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 41

Dependent Claim 17 words

The device of claim 32, wherein said predetermined matrix calculation is represented by the following formula: ##EQU60##

Claim 42

Dependent Claim 17 words

The device of claim 32, wherein said predetermined matrix calculation is represented by the following formula: ##EQU61##

Claim 43

Dependent Claim 22 words

The device of claim 32, wherein said predetermined matrix calculation is represented by the following formula: ##EQU62## wherein σ=(r+c), (g+m) or (b+y).

Claim 44

Dependent Claim 215 words

An image processing device for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor, to produce color-separated data Rout, Gout, and Bout expressed by three colors red, green and blue, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said device comprising: means for determining a minimum value α and a maximum value β of the sensor data Rin, Gin and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) means for generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining color-separated data Rout, Gout and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 45

Dependent Claim 215 words

An image processing device for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor, to produce color-separated data Rout, Gout, and Bout expressed by three colors red, green and blue, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said device comprising: means for determining a minimum value α and a maximum value β of the sensor data Rin, Gin and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) means for generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining color-separated data Rout, Gout and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 46

Dependent Claim 17 words

The device of claim 36, wherein said predetermined matrix calculation Is represented by the following formula: ##EQU63##

Claim 47

Dependent Claim 17 words

The device of claim 36, wherein said predetermined matrix calculation is represented by the following formula: ##EQU64##

Claim 48

Dependent Claim 22 words

The device of claim 36, wherein said predetermined matrix calculation is represented by the following formula: ##EQU65## wherein σ=(r+c), (g+m) or (b+y).

Claim 49

Dependent Claim 215 words

An image processing device for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor, to produce color-separated data Rout, Gout, and Bout expressed by three colors red, green and blue, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said device comprising: means for determining a minimum value α and a maximum value β of the sensor data Rin, Gin and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) means for generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and means for determining color-separated data Rout, Gout and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 50

Dependent Claim 215 words

An image processing device for performing color conversion on sensor data Rin, Gin and Bin expressed by three colors red, green and blue from a sensor, to produce color-separated data Rout, Gout, and Bout expressed by three colors red, green and blue, each of the sensor data and the color-separated data representing a pixel of one of a stationary image and a moving image, said device comprising: means for determining a minimum value α and a maximum value β of the sensor data Rin, Gin and Bin for each pixel of an image in accordance with the following expressions: α=MIN (Rin, Gin, Bin) β=MAX (Rin, Gin, Bin) means for generating hue data r, g, b, y, m and c from the sensor data Rin, Gin, Bin, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Rin g=β-Gin b=β-Bin y=Bin-α m=Gin-α c=Rin-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 14 for (Fij); and means for determining color-separated data Rout, Gout and Bout in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, and the matrix coefficients (Eij) and (Fij).

Claim 51

Dependent Claim 17 words

The device of claim 40, wherein said predetermined matrix calculation is represented by the following formula: ##EQU66##

Claim 52

Dependent Claim 17 words

The device of claim 40, wherein said predetermined matrix calculation is represented by the following formula: ##EQU67##

Claim 53

Dependent Claim 22 words

The device of claim 40, wherein said predetermined matrix calculation is represented by the following formula: ##EQU68## wherein σ=(r+c), (g+m) or (b+y).

Claim 54

Dependent Claim 259 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M, Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for separating the minimum value α into the second image data K and remainder data α-K; means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 55

Dependent Claim 259 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M, Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing a pixel of one of a stationary image and a moving image, said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for separating the minimum value α into the second image data K and remainder data α-K; means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); and means for determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 56

Dependent Claim 17 words

The device of claim 44, wherein said predetermined matrix calculation is represented by the following formula: ##EQU69##

Claim 57

Dependent Claim 17 words

The device of claim 44, wherein said predetermined matrix calculation is represented by the following formula: ##EQU70##

Claim 58

Dependent Claim 22 words

The device of claim 44, wherein said predetermined matrix calculation is represented by the following formula: ##EQU71## wherein σ=(r+c), (g+m) or (b+y).

Claim 59

Dependent Claim 257 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing pixel of one of a stationary image and a moving image said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); means for separating the minimum value α into the second image data K and the remainder data α-K; and determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 60

Dependent Claim 257 words

An image processing device for performing color conversion on first image data R, G and B expressed by three colors red, green and blue, to produce second image data C, M Y and K expressed by four colors cyan, magenta, yellow and black, each of the first and second image data representing pixel of one of a stationary image and a moving image said device comprising: means for generating complementary color data Ci, Mi and Yi from the first image data R, G and B for each pixel of an image; means for determining a minimum value α and a maximum value β of the complementary color data Ci, Mi and Yi in accordance with the following expressions: α=MIN (Ci, Mi, Yi) β=MAX (Ci, Mi, Yi) means for generating hue data r, g, b, y, m and c from the complementary color data Ci, Mi, and Yi, the minimum value α and the maximum value β, in accordance with the following equations: r=β-Ci g=β-Mi b=β-Yi y=Yi-α m=Mi-α c=Ci-α means for generating predetermined matrix coefficients (Eij) and (Fij), with i=1 to 3 and j=1 to 3 for (Eij) and i=1 to 3 and j=1 to 12 for (Fij); means for separating the minimum value α into the second image data K and the remainder data α-K; and determining the second image data C, M, Y in accordance with a predetermined matrix calculation using the minimum value α, the hue data r, g, b, y, m and c, the remainder data (α-K), and the matrix coefficients (Eij) and (Fij).

Claim 61

Dependent Claim 17 words

The device of claim 48, wherein said predetermined matrix calculation is represented by the following formula: ##EQU72##

Claim 62

Dependent Claim 17 words

The device of claim 48, wherein said predetermined matrix calculation is represented by the following formula: ##EQU73##

Claim 63

Dependent Claim 22 words

The device of claim 48, wherein said predetermined matrix calculation is represented by the following formula: ##EQU74## wherein σ=(r+c), (g+m) or (b+y).

Claim 64

Dependent Claim 144 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing a pixel of one of a stationary image and a moving image, the method comprising: (a) generating complementary color data from the first image data for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum and maximum value of the complementary color data; (c) generating hue data representing a hue of each pixel of the image based on the complementary color data, the minimum value and the maximum value; and (d) generating the second image data based on the hue data.

Claim 65

Dependent Claim 144 words

An image processing method used by a color conversion apparatus for performing color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing a pixel of one of a stationary image and a moving image, the method comprising: (a) generating complementary color data from the first image data for each pixel of an image generated by one of a display device, image recording device, image reproducing device, and an information processing system; (b) determining a minimum and maximum value of the complementary color data; (c) generating hue data representing a hue of each pixel of the image based on the complementary color data, the minimum value and the maximum value; and (d) generating the second image data based on the hue data.

Claim 66

Dependent Claim 34 words

The method of claim 52, wherein the first format is expressed by three colors red, green and blue, and the second format is expressed by at least three colors including cyan, magenta and yellow.

Claim 67

Dependent Claim 36 words

The method of claim 52, wherein the first format is a color format utilized by color display devices including at least cathode ray tubes, and the second format is a color format utilized by color printers.

Claim 68

Dependent Claim 31 words

The method of claim 52, wherein the first format is a color format utilized by color scanning devices, and the second format is a color format utilized by color display device.

Claim 69

Dependent Claim 20 words

The method of claim 52, further comprising a step of (e) removing an achromatic component from the second image data.

Claim 70

Dependent Claim 38 words

The method of claim 56, further comprising the steps of: (f) finely adjusting an achromatic component of the second image data based on the minimum value; and (g) synthesizing output from the step (e) and the step (f).

Claim 71

Dependent Claim 22 words

The method of claim 56, further comprising the step of (f) controlling, according to operator input, whether to perform the step (e).

Claim 72

Dependent Claim 26 words

The method of claim 52, further comprising a step of (e) finely adjusting an achromatic component of the second image data based on the minimum value.

Claim 73

Dependent Claim 22 words

The method of claim 59, further comprising the step of (f) controlling, according to operator input, whether to perform the step (e).

Claim 74

Dependent Claim 27 words

The method of claim 52, further comprising the step of (e) controlling, according to operator input, whether the second format is a three or four color format.

Claim 75

Dependent Claim 61 words

A color conversion apparatus for performing color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing pixels of one of a stationary image and a moving image, the apparatus performing the color conversion method recited in claim 52.

Claim 76

Dependent Claim 60 words

A processor programmed to perform color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing pixels of one of a stationary image and a moving image, the processor performing the color conversion method recited in claim 52.

Claim 77

Dependent Claim 123 words

An image processing apparatus for performing color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing a pixel of one of a stationary image and a moving image, the apparatus comprising: means for generating complementary color data from the first image data for each pixel of an image; means for determining a minimum and maximum value of the complementary color data; means for generating hue data representing a hue of each pixel of the image based on the complementary data, the minimum value and the maximum value; and means for generating the second image data based on the hue data.

Claim 78

Dependent Claim 123 words

An image processing apparatus for performing color conversion on first image data of a first format to produce second image data of a second format different from the first format, each of the first and second image data representing a pixel of one of a stationary image and a moving image, the apparatus comprising: means for generating complementary color data from the first image data for each pixel of an image; means for determining a minimum and maximum value of the complementary color data; means for generating hue data representing a hue of each pixel of the image based on the complementary data, the minimum value and the maximum value; and means for generating the second image data based on the hue data.

Claim 79

Dependent Claim 34 words

The apparatus of claim 64, wherein the first format is expressed by three colors red, green and blue, and the second format is expressed by at least three colors including cyan, magenta and yellow.

Claim 80

Dependent Claim 36 words

The apparatus of claim 64, wherein the first format is a color format utilized by color display devices including at least cathode ray tubes, and the second format is a color format utilized by color printers.

Claim 81

Dependent Claim 31 words

The apparatus of claim 64, wherein the first format is a color format utilized by color scanning devices, and the second format is a color format utilized by color display devices.

Claim 82

Dependent Claim 20 words

The apparatus of claim 64, further comprising muddiness removing means for removing an achromatic component from the second image data.

Claim 83

Dependent Claim 42 words

The apparatus of claim 68, further comprising achromatic adjusting means for finely adjusting an achromatic component of the second image data based on the minimum value; and synthesizing means for synthesizing output from the achromatic adjusting means and the muddiness removing means.

Claim 84

Dependent Claim 22 words

The apparatus of claim 68, further comprising control means for controlling, according to operator input, whether to disable the muddiness removing means.

Claim 85

Dependent Claim 26 words

The apparatus of claim 64, further comprising achromatic adjusting means for finely adjusting an achromatic component of the second image data based on the minimum value.

Claim 86

Dependent Claim 22 words

The apparatus of claim 71, further comprising control means for controlling, according to operator input, whether to disable the achromatic adjusting means.

Claim 87

Dependent Claim 26 words

The apparatus of claim 64, further comprising control means for controlling, according to operator input, whether the second format is a three or four color format.

Annuity Stage	Window Opens	Payment Deadline	Surcharge Period Until	Estimated Fee	Status
3.5 Years (Year 4)	1999-12-24	2000-06-24	2000-12-24	$2000.00	Window Closed / Lapsed
7.5 Years (Year 8)	2003-12-24	2004-06-24	2004-12-24	$3760.00	Window Closed / Lapsed
11.5 Years (Year 12)	2007-12-24	2008-06-24	2008-12-24	$7700.00	Window Closed / Lapsed

Method and apparatus for performing color conversion

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