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To convert a color from a colorspace based on a typical gamma-compressed (nonlinear) RGB color model to a grayscale representation of its luminance, the gamma compression function must first be removed via gamma expansion (linearization) to transform the image to a linear RGB colorspace, so that the appropriate weighted sum can be applied to ...
A comparison of the Adobe RGB (1998) color space and sRGB color gamuts space within the CIE 1931 xy chromaticity diagram. The sRGB gamut is lacking in cyan-green hues. sRGB is an RGB color space proposed by HP and Microsoft in 1996 to approximate the color gamut of the (then) most common computer display devices (CRTs). Since sRGB serves as a ...
where , , and are the color-balanced LMS cone tristimulus values; ′, ′, and ′ are the tristimulus values of an object believed to be white in the un-color-balanced image, and ′, ′, and ′ are the tristimulus values of a pixel in the un-color-balanced image. Matrices to convert to LMS space were not specified by von Kries, but can be ...
YCbCr is sometimes abbreviated to YCC.Typically the terms Y′CbCr, YCbCr, YPbPr and YUV are used interchangeably, leading to some confusion. The main difference is that YPbPr is used with analog images and YCbCr with digital images, leading to different scaling values for U max and V max (in YCbCr both are ) when converting to/from YUV.
Color space conversion is the translation of the representation of a color from one basis to another. This typically occurs in the context of converting an image that is represented in one color space to another color space, the goal being to make the translated image look as similar as possible to the original.
The camera encodes its rendered image into the JPEG file using one of the standard gamma values such as 2.2, for storage and transmission. The display computer may use a color management engine to convert to a different color space (such as older Macintosh's γ = 1.8 color space) before putting pixel values into its video memory. The monitor ...
Colorlab MATLAB toolbox for color science computation and accurate color reproduction (by Jesus Malo and Maria Jose Luque, Universitat de Valencia). It includes CIE standard tristimulus colorimetry and transformations to a number of non-linear color appearance models (CIE Lab, CIE CAM, etc.).
A 1-bit image of the Statue of David, dithered with Floyd–Steinberg algorithm. Floyd–Steinberg dithering is an image dithering algorithm first published in 1976 by Robert W. Floyd and Louis Steinberg.