Abstract: An image processing device includes: a process section; a generation section; and a supply section. The process section includes: an index value determination section; and an adjustment section. The index value determination section is configured to determine an index value for each of a plurality of target pixels included in edge image data. The adjustment section is configured not to adjust a pixel value of the target pixel in a first case where the density of the target pixel is determined to be relatively low based on the index value of the target pixel, and configured to adjust the pixel value of the target pixel so as to reduce the density of the target pixel in a second case where the density of the target pixel is determined to be relatively high based on the index value of the target pixel.

Abstract: Each of a plurality of polyhedron spaces is defined by a plurality of first vertices. Each of the plurality of first vertices is defined by a plurality of sets of third color data that are defined in the second color space. A color data setting unit sets a plurality of sets of fourth color data that are defined in a first color space in one to one correspondence with the plurality of third color data sets. A second dividing unit divides each of a plurality of polyhedron spaces into a plurality of smaller polyhedron spaces by a division number set for the each polyhedron spaces. Each of the plurality of smaller polyhedron spaces is defined by a plurality of second vertices and the plurality of first vertices. Each of the plurality of second vertices is defined by a plurality of sets of fifth color data defined in the second color space.

Abstract: When a logarithmic spiral function curve exists at a position specified by variables, a filter coefficient corresponding to the position is obtained through calculation using Gaussian function stored in a Gaussian function memory, and the filter coefficient is stored in a filter coefficient memory in association with the position specified by the variables. Retinex processing is executed on original image data using the filter coefficients stored in the filter coefficient memory.

Abstract: An original image is converted into a reduced image, based on which a peripheral average luminance image is obtained through a filtering processing. A Retinex image having a smaller size than the original image is obtained from the peripheral average luminance image and the reduced image. The Retinex image is enlarged, and an output image is generated based on the enlarged Retinex image and the original image.

Abstract: An image processing device includes a color converting unit and a scaling unit. The color converting unit is configured to convert input image data to converted image data. The converted image data has a plurality of sets of converted pixel data. Each set of converted pixel data includes an achromatic color value and a plurality of chromatic color values. The achromatic color value indicates an amount of an achromatic color material. The achromatic color material produces an achromatic color. Each of the plurality of chromatic color values indicates an amount of one of a plurality of chromatic color materials. Each of chromatic color material produces a chromatic color. The achromatic color is produced by mixing at least one of the achromatic color material and the plurality of chromatic color materials. The scaling unit is configured to produce scaled image data based on the converted image data. The scaled image data includes a plurality of sets of scaled pixel data.

Abstract: An image processing device includes a converting unit, a determining unit, and a halftone unit. The converting unit converts original image data to converted image data by performing a scaling process and a color conversion process on the original image data. The original image data includes a plurality of sets of original pixel data. The converted image data has a plurality of sets of converted pixel data. Each set of converted pixel data corresponds to at least one set of original pixel data. The converting unit produces each set of converted pixel data based on the corresponding at least one set of converted pixel data. Each set of converted pixel data includes a plurality of color values. The plurality of color values corresponds to a plurality of color materials. Each color value indicates an amount of one of the plurality of color materials.

Abstract: An image processing device includes an original image data acquiring unit and a reducing unit. The original image data acquiring unit acquires original image data indicative of an original image. The original image data includes a plurality of sets of original pixel data, the original image having a first resolution and a first size. The original image is divided into a plurality of original grids. Each original grid corresponds to a set of original pixel data. The reducing unit creates reduced image data by performing a reduction process on the original image data. The reduced image data includes a plurality of sets of reduced pixel data. The reduced image data indicates of a reduced image having a second resolution lower than the first resolution and a second size same as the first size. The reduced image is divided into a plurality of reduced grids. Each reduced grid corresponds to a set of reduced pixel data. The reducing unit includes an acquiring unit and a reduced pixel data producing unit.

Abstract: An update performing unit repeatedly performs an updating process by controlling a second reference point setting unit to set a plurality of second reference points that are uniformly distributed in a subspace in the second color space; a calculation unit to calculate color differences between a set of fifth color data for each second reference point in the subspace and a single first reference point; a first judging unit to judge whether or not the smallest color difference among all the color differences with respect to each of the second reference points in the subspace is smaller than a color difference registered at the single first reference point; and a updating unit to update, if the first judging unit judges that the smallest color difference is smaller than the color difference, a set of fourth color data, that is already registered at the single first reference point, to a set of fourth color data for the each second reference point in the subspace.

Abstract: A color gamut data creating device includes a locating unit, and an extracting unit. The locating unit locates characteristic points based on the measurement points on a target plane. The extracting unit extracts at least three vertices of a color gamut from among the characteristic points. The at least three vertices satisfy the conditions that a first point, which is any one of the at least three vertices, is located within a reference distance from a second point adjacent to the first point from among the at least three vertices, and that all cross products that are calculated by a vector from the first point to the second point and vectors from the first point to any characteristic points that are located within the reference distance from the first point have the same sign.

Abstract: A color gamut data creating device includes a locating unit, and an extracting unit. The locating unit locates characteristic points based on the measurement points on a target plane. The extracting unit extracts at least three vertices of a color gamut from among the characteristic points. The at least three vertices satisfy the conditions that a first point, which is any one of the at least three vertices, is located within a reference distance from a second point adjacent to the first point from among the at least three vertices, and that all cross products that are calculated by a vector from the first point to the second point and vectors from the first point to any characteristic points that are located within the reference distance from the first point have the same sign.

Abstract: A color gamut data creating device includes a locating unit, and an extracting unit. The locating unit locates characteristic points based on the measurement points on a target plane. The extracting unit extracts at least three vertices of a color gamut from among the characteristic points. The at least three vertices satisfy the conditions that a first point, which is any one of the at least three vertices, is located within a reference distance from a second point adjacent to the first point from among the at least three vertices, and that all cross products that are calculated by a vector from the first point to the second point and vectors from the first point to any characteristic points that are located within the reference distance from the first point have the same sign.

Abstract: An image processing device includes a reduced-image creating portion, a reduced-retinex-image forming portion, a normalizing-parameter setting portion, and an original-image correcting portion. The reduced-retinex-image forming portion calculates reflectance of each pixel in a reduced image based both on a pixel value of a subject pixel in a reduced image and on a peripheral average luminance of the subject pixel, thereby forming a reduced retinex image that is configured of reflectance of each pixel in the reduced image. The normalizing-parameter setting portion obtains frequencies of the reflectance in the reduced retinex image and sets an upper limit and a lower limit for normalization. The original-image correcting portion includes a retinex-image forming portion, a first normalizing portion, and a first correcting portion.

Abstract: An image processing device includes a retinex-value calculating portion, a normalizing-parameter reading portion, a normalizing portion, and a correcting portion. The retinex-value calculating portion calculates a retinex value of each pixel in an original image based both on a pixel value of a subject pixel and on a peripheral average luminance of the subject pixel, The normalizing-parameter reading portion reads an upper limit and a lower limit for performing normalization. The normalizing portion normalizes the retinex value based on the upper limit and the lower limit, thereby obtaining a normalized retinex value for each pixel in the original image. The correcting portion corrects the original image based both on the normalized retinex value and on the pixel value for each pixel in the original image, thereby obtaining a corrected image.

Abstract: The image processor processes each pixel of a halftone image by sequentially setting each pixel as a target pixel. A converting unit converts a pixel density of the target pixel into a first output value. An error data calculation unit calculates error data of the target pixel. The error data corresponds to a difference between the first output value and the pixel density. A compression unit irreversibly compresses the error data of the target pixel. Partial data of the pixel density is lost from the error data when irreversibly compressing the error data. An error buffer stores the compressed error data of the target pixel and a plurality of sets of compressed error data for a plurality of processed pixels. A decompression unit reads and decompresses a plurality of sets of compressed error data for a plurality of peripheral pixels with respect to a next target pixel from the error buffer.

Abstract: A reduced-image creating portion creates a reduced image from an original image. A reduced-retinex-image forming portion calculates reflectance of each pixel in the reduced image, thereby forming a reduced retinex image. A normalizing-parameter setting portion obtains frequencies of the reflectance in the reduced retinex image and sets upper and lower limits for normalization. A first normalizing portion obtains a normalized reflectance for each pixel in the reduced image. A first correcting portion obtains a corrected reduced image. A preview-image displaying portion displays the corrected reduced image on a display unit. A retinex-image forming portion calculates reflectance of each pixel in the original image. A second normalizing portion normalizes the reflectance of the original image based on the upper limit and the lower limit, thereby obtaining a normalized reflectance for each pixel in the original image.

Abstract: This specification discloses a computer program product manufacturing method. This method is provided with a forming step, a combining step, and a storing step. The forming step instructs the printer to form a dot at a predetermined coordinate. The combining step creates a combination of the predetermined coordinate and a sub-coordinate which is different from the predetermined coordinate. A distance between the predetermined coordinate and a position of a dot formed when the printer tries to form the dot at the sub-coordinate is shorter than the distance between the predetermined coordinate and the position of the dot formed in the forming step. A storing step stores a computer program into a memory medium. The computer program includes instructions for ordering the computer device to perform a choosing step and a converting step. The choosing step chooses a coordinate from bit-mapped data.

Abstract: In a recording control system, representative pixels are set as a part of the pixels in the detection region. The determining unit determines whether a pixel value of the selected at least one representative pixel falls within a first pixel value range. The recording head ejects ink based on pixel data in the first region while scanning in the first direction. The recording head ejects ink based on pixel data in the second region adjacent to the first region while scanning in the first direction when the pixel value of the selected at least one representative pixel falls within the first pixel value range. The recording head ejects ink based on pixel data in the second region while scanning in the second direction when the pixel value of at least one of the selected at least one representative pixel does not falls within the first pixel value range.

Abstract: In a recording control system, the selecting unit selects at least one pixel from among the pixels in the detection region such that a number of the selected at least one pixel is smaller than a total number of the pixels in the detection region. The determining unit determines whether a pixel value of the selected pixel satisfies a criterion. The recording head ejects ink based on pixel data of the first region while scanning in the first direction. The recording head ejects ink based on pixel data of the second region adjacent to the first region while scanning in the first direction when the pixel value of the selected at least one pixel satisfies the criterion. The recording head ejects ink based on pixel data of the second region while scanning in the second direction when the pixel value of the selected pixel does not satisfy the criterion.

Abstract: A color conversion table creating device for creating a color conversion table for converting first color data defined in a first color space to second color data defined in a second color space different from the first color space, includes a first data acquiring unit, a reference value determining unit, a lightness judging unit, a third data determining unit, and a creating unit. The first data acquiring unit is configured to acquire a plurality of sets of first data defined in the first color space. The first data sets are determined by measuring test patches each corresponding to a set of second data defined in the second color space. The first data sets include a set of black color data corresponding to data representing black in the second color space. Each first data set has a lightness value. The reference value determining unit is configured to determine a reference value based on a lightness value of the black color data set.

Abstract: A profile correcting device includes a first profile acquiring unit, a second profile acquiring unit, a first correcting unit, and a second correcting unit. The first profile acquiring unit acquires a first profile representing correspondence relationship between input color values and first colorimetric values. Each first colorimetric value corresponds to one input color value and represents a color that is reproduced by a first image forming device based on the one input color value. The input color values includes a white value indicative of white, a black value indicative of black, a near-white color value indicative of a color near to white, and a near-black color value indicative of a color near to black. The second profile acquiring unit acquires a second profile representing correspondence relationship between the input color values and second colorimetric values.