Interpolation method and color correction method using interpolation

Claim 2

An interpolation method for converting three-dimensional color separated input signals into three-dimensional color correction signals for use in an image data processing apparatus, comprising the steps of: inputting three-dimensional color separated input signals produced within said image data processing apparatus from an original image to be reproduced; selecting a triangular prism, based on x, y and z coordinates of said input signals, from a plurality of unit triangular prisms into which XYZ color space is divided; reading out lattice point data of the selected triangular prism from a memory in which predetermined correction data is stored, which data corresponds to six lattice points of each of said plurality of unit triangular prisms; calculating correction data, corresponding to the input signals, through interpolation of values of said six lattice point data read out from said memory; and generating said correction signals based on said calculated correction data.

Claim 3

The interpolation method as claimed in claim 1, wherein each of the lattice points of the plural unit triangular prisms lies on a square lattice or triangular lattice in XYZ space.

Claim 4

The interpolation method as claimed in claim 1, wherein said input signals are color signals and yellow, magenta and cyan ink quantity signals are generated from red, green and blue input signals supplied by an input sensor when a color document is scanned.

Claim 5

The interpolation method as claimed in claim 3, wherein said lattice point data of the selected triangular prism stored in said memory is loaded into a second memory when color correction is performed, said correction data being calculated through interpolation with reference to said lattice point data loaded in the second memory.

Claim 6

The interpolation method as claimed in claim 1, wherein said calculation is performed by using a linear function including variables of correction data corresponding to lattice points in XYZ space, said linear function including correction factors whose values are determined through a least square method by using predetermined input data and output data.

Claim 7

A color correction method for generating three-dimensional color correction signals Y, M and C from three-dimensional color separated input signals R, G and B through interpolation for use in an image data processing apparatus, comprising the steps of: inputting three-dimensional color separated input signals produced within said image data processing apparatus from an original image to be reproduced; calculating a set of correction factors by applying a least square method based on a plurality of color pattern data which is printed with predetermined ink quantities, and based on density data obtained by color decomposition of said plurality of color pattern data; determining correction signals Y, M and C, corresponding to six lattice points in RGB space, by using said calculated set of correction factors; setting said correction signals Y, M and C, to a lattice point in RGB space when said lattice point is located in an area of RGB space in which the density data is lower than a predetermined level; and setting said correction signals Y, M and C, to a lattice point in RGB space when said lattice point is not located in an area of RGB space in which the density data is lower than a predetermined level.

Claim 8

A color correction method for generating three-dimensional color correction signals Y, M and C from three-dimensional color separated input signals R, G and B through interpolation for use in an image data processing apparatus, comprising the steps of: inputting three-dimensional color separated input signals produced within said image data processing apparatus from an original image to be reproduced; calculating a set of correction factors by applying a least square method based on a plurality of color pattern data which is printed with predetermined ink quantities, and based on density data obtained by color decomposition of said plurality of color pattern data; determining correction signals Y, M and C, corresponding to six lattice points in RGB space, by using said calculated set of correction factors; setting said correction signals Y, M and C, to a lattice point in RGB space when said lattice point is located in an area of RGB space in which the density data is lower than a predetermined level; and setting said correction signals Y, M and C, to a lattice point in RGB space when said lattice point is not located in an area of RGB space in which the density data is lower than a predetermined level.

Claim 9

A color correction method for generating three-dimensional color correction signals Y, M and C from three-dimensional color separated input signals R, G and B through interpolation for use in an image data processing apparatus, comprising the steps of: inputting three-dimensional color separated input signals produced within said image data processing apparatus from an original image to be reproduced; calculating a set of correction factors by applying a least square method based on a plurality of color pattern data which is printed with predetermined ink quantities, and based on density data obtained by color decomposition of said plurality of color pattern data, said density data corresponding to a local area of RGB space in which a color difference between the original image and the reproduced image is appreciable; determining correction signals Y, M and C, corresponding to six lattice points which are located in said local area of RGB space, by using said calculated set of correction factors; and setting said correction signals Y, M and C, to said six lattice points located in said local area of RGB space.

Claim 10

A color correction method for generating three-dimensional color correction signals Y, M and C from three-dimensional color separated input signals R, G and B through interpolation for use in an image data processing apparatus, comprising the steps of: inputting three-dimensional color separated input signals produced within said image data processing apparatus from an original image to be reproduced; calculating a set of correction factors by applying a least square method based on a plurality of color pattern data which is printed with predetermined ink quantities, and based on density data obtained by color decomposition of said plurality of color pattern data, said density data corresponding to a local area of RGB space in which a color difference between the original image and the reproduced image is appreciable; determining correction signals Y, M and C, corresponding to six lattice points which are located in said local area of RGB space, by using said calculated set of correction factors; and setting said correction signals Y, M and C, to said six lattice points located in said local area of RGB space.

Claim 11

The color correction method as claimed in claim 7, wherein said local area of RGB space is an achromatic color area in which a color difference represented by max (R-G, G-B, B-R) is lower than a predetermined level.

Claim 12

The color correction method as claimed in claim 7, wherein said local area of RGB space is highlighted area in which red, green and blue signals whose densities are lower than a predetermined threshold level.