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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 digital images are made of pixels, and pixels are made of combinations of primary colors represented by a series of code. A channel in this context is the grayscale image of the same size as a color image, [citation needed] made of just one of these primary colors.
The three values of the YCoCg color model are calculated as follows from the three color values of the RGB color model: [2] [] = [] [] The values of Y are in the range from 0 to 1, while Co and Cg are in the range of −0.5 to 0.5, as is typical with "YCC" color models such as YCbCr.
The image modification process is sometimes called color transfer or, when grayscale images are involved, brightness transfer function (BTF); it may also be called photometric camera calibration or radiometric camera calibration. The term image color transfer is a bit of a misnomer since most common algorithms transfer both color and shading ...
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 ...
Example of U-V color plane, Y′ value = 0.5, represented within RGB color gamut An image along with its Y′, U, and V components respectively. Y′UV, also written YUV, is the color model found in the PAL analogue color TV standard. A color is described as a Y′ component and two chroma components U and V.
The comprehensive color normalization is shown to increase localization and object classification results in combination with color indexing. [7] It is an iterative algorithm which works in two stages. The first stage is to use the red, green and blue color space with the intensity normalized, to normalize each pixel.
Like the previous H.26x standards, H.263 is a block-based hybrid video coding scheme using 16×16 macroblocks of YCbCr color sample arrays, motion-compensated prediction, an 8×8 discrete cosine transform for prediction differences, zig-zag scanning of transform coefficients, scalar quantization, run-length transform coefficient symbols, and ...