The present disclosure relates to a moire quantitative evaluation method. The method includes obtaining an image of a first pattern layer; obtaining coordinates of each of the first image units; according to the coordinates of each of the first image units and a thickness and a refractive index of a dielectric layer, determining coordinates of projection image units each of which corresponds to a corresponding one of the first image units along an oblique view light path; determining a pixel value of each of the projection image units according to pixel values of second image units in each of the surrounding regions to obtain an oblique view image; superimposing the image of the first pattern layer and the oblique view image to obtain a first superimposed image; converting the first superimposed image into a moire image; and performing a moire quantitative evaluation according to the moire image.

An image reproduction system and methods for providing colorant data to an end device. A method includes extracting general HSV value data for each pixel of an image from image data. For each pixel, the general HSV value data is transformed to generate universal perceived brightness, Bp, and universal perceived-chroma, Cp, value data. End-device colorant data associated with the general HSV value data is retrieved for each pixel and scaled using the Bp and Cp value data to obtain scaled end-device colorant data. The scaled end-device colorant data is transmitted to the end device.

An image reproduction system and methods for providing colorant data to an end device are disclosed. A method includes extracting general HSV value data for each pixel of an image from image data. For each pixel, the general HSV value data is transformed to generate universal perceived brightness, Bp, and universal perceived-chroma, Cp, value data. End-device colorant data associated with the general HSV value data is retrieved for each pixel and scaled using the Bp and Cp value data to obtain scaled end-device colorant data. The scaled end-device colorant data is transmitted to the end device.

An image reproduction system and methods for providing colorant data to an end device are disclosed. A method includes extracting general HSV value data for each pixel of an image from image data. For each pixel, the general HSV value data is transformed to generate universal perceived brightness, Bp, and universal perceived-chroma, Cp, value data. End-device colorant data associated with the general HSV value data is retrieved for each pixel and scaled using the Bp and Cp value data to obtain scaled end-device colorant data. The scaled end-device colorant data is transmitted to the end device.

Example color resources are generated. A first luminosity amount of a greyscale color in a greyscale color space is determined. The greyscale color corresponds with a transformation of a source color in a first color space converted to the greyscale color. The source color corresponding with a depletion color in a second color space, and the depletion color has a second luminosity amount. A target color in a color resource is generated via adjusting a black channel amount in the depletion color to match the second luminosity amount with the first luminosity amount. The target color to correspond with the source color in the color resource.

The color coding approach adopted by the Anchor Point Cloud Compression (PCC) leads to a significant color distortion, even at very low compression ratios. This color distortion is also referred to as color leaking. Two approaches are able to mitigate the color leaking. Both approaches reduce the color leaking significantly, while one of them (e.g., 1D subsampling) is more robust and preferred in most cases. A more general approach is an adaptive selection between these two approaches.

An image processing apparatus includes: an acquisition unit configured to acquire a plurality of first color values in a device independent color space, from information defining a predetermined gamut; a setting unit configured to set predetermined first dot percentages of a fluorescent color for the plurality of first color values acquired by the acquisition unit; a calculation unit configured to calculate a second dot percentage of the fluorescent color, based on a relationship between the plurality of first color values and the first dot percentages, the second dot percentage corresponding to an arbitrary second color value in the color space; and a generation unit configured to generate a first profile to convert the second color value to dot percentages of a process color and the fluorescent color, based on the second color value and the second dot percentage calculated by the calculation unit.

An information processing apparatus includes circuitry and a memory, the circuitry performing perceptual image conversion of converting two image data generated from one color image data respectively into perceptual images based on human visual characteristics, collation of determining whether the two perceptual images converted by the perceptual image conversion are same, and comparison result outputting of outputting the comparison result by the collation.

An example color resource is generated. A source color from a first color space is converted to a corresponding greyscale color in a greyscale color space. The greyscale color includes a first luminosity amount. A black channel amount is adjusted to a depletion color from a second color space to form a target color in the second color space. The depletion color corresponds with a transformation of the source color into the second color space. The depletion color includes a second luminosity amount, and adjusting the black channel includes matching the second luminosity amount in the target color with the first luminosity amount.

An image processing apparatus includes a processor. The processor is configured to execute a program to generate a post-color conversion image from a pre-color conversion image using a color conversion model, calculate a color conversion precision of the post-color conversion image using a precision of the color conversion model, specify a region, the color conversion precision of which is equal to or less than a threshold, and display, of the post-color conversion image, a post-color conversion image, the region of which with the color conversion precision being equal to or less than the threshold has a size that is larger than a criterion determined in advance.