An image processing apparatus converts a first combination including color signals respectively corresponding to first ink, second ink, and third ink, which are input to be recorded in a first area on a recording medium into a second combination including color signals respectively corresponding to the first ink, the second ink, and the third ink, and converts a third combination including color signals respective corresponding to the first ink, the second ink, and the third ink which are input to be recorded in a second area on the recording medium into a fourth combination including color signals respectively corresponding to the first ink, the second ink, and the third ink, wherein a difference between a color of a first image and a color of a second image is reduced and a difference between a frequency of the first image and a frequency of the second image is reduced.

An image processing apparatus includes a processing unit that converts first input image data for a first region and second input image data for a second region to reduce a difference between first region recorded image density and second region recorded image density, and generates dot position data of a dot to be generated in each of the first and second regions based on the dot data after the conversion processing. The acquisition unit acquires edge information indicating a first object pixel edge of an image pixel for the first region and a second object pixel edge of an image pixel for the second region. Based on the acquired edge information, conversion and generation processing are performed in such a manner that a color signal of an edge pixel is increased/reduced to a degree lower than a degree to which a color signal of a non-edge object pixel is increased/reduced.

Certain examples described herein relate to generating a Neugebauer Primary area coverage (NPac) vector. In certain cases, a first plurality of Neugebauer Primaries (NPs) defined by a first NPac vector is determined, the first plurality of NPs defining a set of characteristics of a printing process. A second NPac vector, defining a second plurality of NPs, is generated based on the set of characteristics and a criterion relating to the printing process.

Luminance data indicating luminance of the print product illuminated by the lighting is calculated and processing for causing a high luminance region to have gradation characteristics is performed.

An image processing apparatus processes input image data and generates output image data. The image processing apparatus includes a feature-value calculating unit, an output-gradation-number setting unit, and an image processor. The feature-value calculating unit calculates a feature value from the input image data. The output-gradation-number setting unit sets, as the number of output gradations, any one gradation number of candidates for the number of output gradations based on the feature value calculated by the feature-value calculating unit. The image processor processes the input image data and generates the output image data having the number of output gradations which is set by the output-gradation-number setting unit.

Systems, methods, software for halftoning. In one embodiment, a halftone system receives a raster image comprising an array of pixels, and performs a multi-level halftoning process on one or more blocks of the pixels. The system identifies thresholds that distinguish different intensity levels. For each block, the system identifies a set of pixel values for the pixels in the block, performs a vectorized comparison of the set of pixel values to each of the thresholds to generate sets of comparison bits, and performs ternary logic operations with three of the sets of comparison bits as input to define a set of low-order bits and a set of higher-order bits for the pixels in the block.

In an image processing apparatus, in a case where setting values indicate to create scan data by using digital halftoning and requires execution of a prescribed process using a result of character recognition, a controller outputs an instruction to create multiple-value scan data having a pixel value represented by two or more bits. The controller executes the character recognition on the multiple-value scan data. The controller converts the multiple-value scan data into converted scan data by using digital halftoning, and executes the prescribed process on the converted scan data. In a case where the setting values indicate to create scan data by using a method different from the digital halftoning, and requires execution of the prescribed process, the controller outputs an instruction to create setting-based scan data. The controller executes the character recognition on the setting-based scan data. The controller executes the prescribed process on the setting-based scan data.

White-balance is improved when printing on colored media, while minimizing the time and use of costly materials required by present approaches. In an embodiment, the typical solid white fill or background layer is altered by including in the white layer one or more of the other colors already available in the printer to shade this layer. Thus, a small amount of cyan, for example, helps balance a pink-ish (red) media; yellow is used for blue media; and magenta is used for green media; as well as combinations thereof. A combination of transparent process inks and opaque white helps to maintain brightness (luminosity).

An image processing apparatus includes a multi-gradation-level dither processing unit and a screen processing unit. The multi-gradation-level dither processing unit performs a multi-gradation-level dither process for a target image. The screen processing unit performs an FM screen process for the target image for which the multi-gradation-level dither process has been performed. Further, in the multi-gradation-level dither process, the multi-gradation-level dither processing unit selects each pixel in the target image as a target pixel in turn; using a conversion characteristic corresponding to each local pixel position group in a unit matrix, converts a pixel value of the target pixel to one of: a minimum gradation level, a maximum gradation level and an intermediate gradation level corresponding to the pixel value of the target pixel; and sets a pixel value of each pixel in the unit matrix as a pixel value obtained with the conversion characteristic.

The spectral colorimetry apparatus includes an LED, a diffraction grating; a line sensor that has multiple pixels and that receives light dispersed by the diffraction grating at the multiple pixels for respective wavelengths of the dispersed light and outputs voltages according to the intensity of the received light; and a sensor CPU that calculates spectral reflectivity of an object based on the intensity of light reflected from the object. The sensor CPU varies, with the multiple pixels, the number of detection times of detecting the light reflected from the object at each pixel.