Color imaging processing method and apparatus for suppressing color blurs

Claim 2

A color image processing method adapted to a color processing apparatus for converting a multivalued brightness image signal into a multivalued density image signal, comprising: a conversion step for converting a first multivalued density image signal to a second multivalued density image signal that includes a Bk (black) component and Y (yellow), M (magenta) and C (Cyan) color components so that, in a case of expressing an achromatic halftone, the Bk component instead of each of the color components Y, M and C is convexly and montonically increased with respect to an increase of a density value of the first multivalued density image signal; and an image forming step of forming an image in accordance with the second multivalued density image signal.

Claim 3

A color image processing method adapted to a color processing apparatus for converting a multivalued brightness image signal into a multivalued density image signal, comprising: a first conversion step for converting a first multivalued density image signal to a second multivalued density image signal that includes a Bk (black) component and Y (yellow), M (magenta) and C (cyan) color that, in a case of expressing a halftone, the halftone is expressed with the Bk component instead of each of the color components Y, M and C, when the color components Y, M and C (cyan) composing the first multivalued density image signal converted, by quasi-inversion, from the multivalued brightness image signal are equal to each other and have a relatively small value; and a second conversion step for converting the first multivalued density image signal to a second multivalued density image signal so that, in a case of expressing a halftone, a rate of applying UCR (under color removal) is decreased when the color components Y, M and C composing the first multivalued density image signal are equal to each other and have a relatively large value, wherein a conversion rate for the expression with the Bk component in said first conversion step is convexly and montonically increased with respect to an increase of a density value of the first multivalued density image signal.

Claim 4

A color image processing method adapted to a color processing apparatus for converting a multivalued brightness image signal into a multivalued density image signal, comprising: a first conversion step for converting a first multivalued density image signal to a second multivalued density image signal that includes a Bk (black) component and Y (yellow), M (magenta) and C (cyan) color that, in a case of expressing a halftone, the halftone is expressed with the Bk component instead of each of the color components Y, M and C, when the color components Y, M and C (cyan) composing the first multivalued density image signal converted, by quasi-inversion, from the multivalued brightness image signal are equal to each other and have a relatively small value; and a second conversion step for converting the first multivalued density image signal to a second multivalued density image signal so that, in a case of expressing a halftone, a rate of applying UCR (under color removal) is decreased when the color components Y, M and C composing the first multivalued density image signal are equal to each other and have a relatively large value, wherein a conversion rate for the expression with the Bk component in said first conversion step is convexly and montonically increased with respect to an increase of a density value of the first multivalued density image signal.

Claim 5

A color image processing apparatus for converting a multivalued brightness image signal into a multivalued density image signal, comprising: input means for inputting a color image as a brightness image signal; first conversion means for converting the brightness image signal to a first density image signal; extraction means for extracting a black component from the first density image signal; second conversion means for converting the first density image signal to a second density image signal by performing UCR processing based upon the black component so as to express the color image by using the black component, in an area where a signal density value of the first density image signal is in a low or intermediate density area, in a manner such that a level of the black component for expressing the color image is convexly and montonically increased with respect to an increase of the density value; and output means for outputting the color image using said second density image signal, wherein a UCR (under color removal) amount ratio in UCR processing applied to the intermediate density area is greater than that in UCR processing applied to a high density area.

Claim 6

A color image processing apparatus for converting a multivalued brightness image signal into a multivalued density image signal, comprising: input means for inputting a color image as a brightness image signal; first conversion means for converting the brightness image signal to a first density image signal; extraction means for extracting a black component from the first density image signal; second conversion means for converting the first density image signal to a second density image signal by performing UCR processing based upon the black component so as to express the color image by using the black component, in an area where a signal density value of the first density image signal is in a low or intermediate density area, in a manner such that a level of the black component for expressing the color image is convexly and montonically increased with respect to an increase of the density value; and output means for outputting the color image using said second density image signal, wherein a UCR (under color removal) amount ratio in UCR processing applied to the intermediate density area is greater than that in UCR processing applied to a high density area.

Claim 7

The apparatus according to claim 3, wherein said input means inputs color images including an original image manuscript and color image data outputted from an external computer.

Claim 8

The apparatus according to claim 4, wherein said input means comprises: reading means for reading color image data from an original image manuscript; connecting means for connecting to the external computer; reception means for receiving the color image data outputted from the external computer; and switching means for switching the color image data input from said reading means or color image data input from said reception means verse versa respectively.

Claim 9

The apparatus according to claim 3, wherein said second conversion means comprises: at least one look-up-table showing the conversion relationship between said first density image signal and said second density image signal; storage means for storing said look-up-table; and selection means for selecting the look-up-table for converting said first density image signal to said second density image signal in the case where more than one look-up-table are stored in said storage means.

Claim 10

The apparatus according to claim 6, wherein said first density image signal is composed of three color components, Y (yellow), M (magenta), C (cyan), and said second density image signal is composed of four color components, Y (yellow), M (magenta), C (cyan), Bk (black).

Claim 11

The apparatus according to claim 7, wherein said look-up-table is applied to an image signal expressing an achromatic color where each color component of Y (yellow), M (magenta), C (cyan) comprising said first density signal is equal to each other.

Claim 12

The apparatus according to claim 8, wherein said look-up-table has conversion characteristics such that, in a case where said first density image signal has a small density value, each value of color components Y (yellow), M (magenta), and C (cyan) in said second density image signal is small compared with each of those in said first density image signal, and the conversion rate using Bk (black) increases, and in a case where said first density image signal has a large density value, a rate of expression with each value of the color components Y (yellow), M (magenta), C (cyan) increases.

Claim 13

The apparatus according to claim 8, wherein said look-up-table has conversion characteristics such that, in a case where said first density image signal has a small density value, each of color components Y (yellow), M (magenta), C (cyan) is expressed with black, and in a case where said first density image signal has a large density value, the conversion rate using each value of color components Y (yellow), M (magenta), C (cyan) increases.

Claim 14

The apparatus according to claim 3, wherein said output means is a laser beam printer.

Claim 15

The apparatus according to claim 3, wherein said output means is an ink-jet printer.

Claim 16

A color image processing method comprising the steps of: inputting a color image signal; and increasing an under color removal amount ratio when a density value indicated by the color image signal is an intermediate density so that the under color removal amount ratio in an intermediate density portion becomes greater than that in a high density portion, wherein a level of a black component obtained after UCR processing is convexly and montonically increased with respect to an increase of the density value.

Claim 17

A color image processing method comprising the steps of: inputting a color image signal; and increasing an under color removal amount ratio when a density value indicated by the color image signal is an intermediate density so that the under color removal amount ratio in an intermediate density portion becomes greater than that in a high density portion, wherein a level of a black component obtained after UCR processing is convexly and montonically increased with respect to an increase of the density value.

Claim 18

The method according to claim 13, wherein the color image processed is outputted using a laser beam printer.

Claim 19

The method according to claim 13, a single-color black processing is performed in the case where the density indicated by the color image signal is intermediate.