An image processing apparatus comprising: a decision unit configured to decide a first color mapping method to a print color gamut for a first partial original based on a pixel value included in the first partial original and the print color gamut of a print unit and decide a second color mapping method to a print color gamut for a second partial original based on a pixel value included in the second partial original and the print color gamut of the print unit; and a color conversion unit configured to perform color conversion of the first partial original by the first color mapping method decided, and perform color conversion of the second partial original by the second color mapping method decided.

A shaping device is provided and includes a head portion that ejects a material of a shaped object, and a controller that controls the operation of the head portion based on ejecting position specifying data indicating a position to eject the material of each color, the ejecting position specifying data being data in which a color is expressed in a predetermined material color space. The controller generates the ejecting position specifying data based on input data in which colors are expressed in a predetermined input color space, and in the process of generating the ejecting position specifying data, performs a color conversion process of converting a color using at least a profile that associates the color in the input color space with the color in the material color space, and a color adjustment parameter which is a parameter used for adjustment performed for color conversion performed using the profile.

In an image processing apparatus gradation is represented by binary or multiple values. There is a memory to store correction information including a correction value corresponding to a position of image data. Correction circuitry corrects the image data according to the correction value. The number of bits representing the correction value for gradation is larger than the number of bits used to represent the image data.

An image processing method is an image processing method of a recording device. The image processing method includes inputting the image data having a resolution in a sub scanning direction of X×N dpi, performing data processing on the image data for each N-unit region, performing resolution reduction processing of reducing, to 1/N, a resolution in the sub scanning direction, and generating a recording data based on the reduced image data. In the data processing step, when the N-unit region is formed of a pixel having a black gradation value and a pixel having a gradation value that is equal to or greater than a predetermined value when expressed by RGB, and the pixel having the black gradation value is consecutive from another N-unit region adjacent to the N-unit region, a black dot is generated in a pixel after the resolution reduction processing.

An image processing apparatus comprises: an obtaining unit that obtains a luminance of an input image having a color reproduction range wider than that of a printing apparatus; a conversion unit that performs, for the input image, conversion processing of obtaining a value included in the color reproduction range of the printing apparatus and obtaining the luminance of the image after the conversion; and a correction unit that corrects the luminance of the input image, wherein the correction unit performs correction of the luminance of the input image based on a conversion characteristic between the obtained luminance and the obtained luminance such that an intensity of the correction becomes higher for a color that is not included in the color reproduction range of the printing apparatus than for a color included in the color reproduction range of the printing apparatus.

An image processing method is an image processing method of a recording device. The image processing method includes inputting the image data having a resolution in a sub scanning direction of X×N dpi, performing data processing on the image data for each N-unit region, performing resolution reduction processing of reducing, to 1/N, a resolution in the sub scanning direction, and generating a recording data based on the reduced image data. In the data processing step, when the N-unit region is formed of a pixel having a black gradation value and a pixel having a gradation value that is equal to or greater than a predetermined value when expressed by RGB, and the pixel having the black gradation value is consecutive from another N-unit region adjacent to the N-unit region, a black dot is generated in a pixel after the resolution reduction processing.

A method is described in which image data of an image to be printed is obtained wherein the image data includes data of each colorant to be printed. The image data of each colorant to be printed is analysed to detect areas of the image in which dye-enriched colorant will occur during printing. The image data is modified to compensate for over-saturation due to the dye-enriched colorant in the detected areas and the image is printed based on the modified image data.

Certain examples described herein relate to generating a Neugebauer Primary area coverage (NPac) vector. In certain cases, an operating state of a printing system is determined. A first NPac vector is obtained, having an initial set of Neugebauer Primaries (NPs). The initial set of NPs comprise a NP that is not implementable with the operating state. A target set of NPs is determined on the basis of the operating state, the target set of NPs being implementable with the operating state. A second NPac vector is generated, the second NPac vector having the target set of NPs.

A method is described in which image data of an image to be printed is obtained wherein the image data includes data of each colorant to be printed. The image data of each colorant to be printed is analysed to detect areas of the image in which dye-enriched colorant will occur during printing. The image data is modified to compensate for over-saturation due to the dye-enriched colorant in the detected areas and the image is printed based on the modified image data.

Certain examples described herein relate to generating a Neugebauer Primary area coverage (NPac) vector. In certain cases, an operating state of a printing system is determined. A first NPac vector is obtained, having an initial set of Neugebauer Primaries (NPs). The initial set of NPs comprise a NP that is not implementable with the operating state. A target set of NPs is determined on the basis of the operating state, the target set of NPs being implementable with the operating state. A second NPac vector is generated, the second NPac vector having the target set of NPs.