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  2. Y′UV - Wikipedia

    en.wikipedia.org/wiki/Y′UV

    This can be very important when converting from Y′UV (or Y′CbCr) to RGB, since the formulas above can produce "invalid" RGB values – i.e., values below 0% or very far above 100% of the range (e.g., outside the standard 16–235 luma range (and 16–240 chroma range) for TVs and HD content, or outside 0–255 for standard definition on PCs).

  3. CIE 1960 color space - Wikipedia

    en.wikipedia.org/wiki/CIE_1960_color_space

    Judd was the first to employ this type of transformation, and many others were to follow. Converting this RGB space to chromaticities one finds [4] [clarification needed The following formulae do not agree with u=R/(R+G+B) and v=G/(R+G+B)] Judd's UCS, with the Planckian locus and the isotherms from 1,000K to 10,000K, perpendicular to the locus.

  4. CIE 1931 color space - Wikipedia

    en.wikipedia.org/wiki/CIE_1931_color_space

    A comparison between a typical normalized M cone's spectral sensitivity and the CIE 1931 luminosity function for a standard observer in photopic vision. In the CIE 1931 model, Y is the luminance, Z is quasi-equal to blue (of CIE RGB), and X is a mix of the three CIE RGB curves chosen to be nonnegative (see § Definition of the CIE XYZ color space).

  5. CIE 1964 color space - Wikipedia

    en.wikipedia.org/wiki/CIE_1964_color_space

    The CIE 1964 (U*, V*, W*) color space, also known as CIEUVW, is based on the CIE 1960 UCS: [1] = (), = (), = where (u 0, v 0) is the white point and Y is the luminous tristimulus value of the object.

  6. Color space - Wikipedia

    en.wikipedia.org/wiki/Color_space

    A popular way to make a color space like RGB into an absolute color is to define an ICC profile, which contains the attributes of the RGB. This is not the only way to express an absolute color, but it is the standard in many industries. RGB colors defined by widely accepted profiles include sRGB and Adobe RGB.

  7. YIQ - Wikipedia

    en.wikipedia.org/wiki/YIQ

    For example, applying a histogram equalization directly to the channels in an RGB image would alter the color balance of the image. Instead, the histogram equalization is applied to the Y channel of the YIQ or YUV representation of the image, which only normalizes the brightness levels of the image.

  8. YCoCg - Wikipedia

    en.wikipedia.org/wiki/YCoCg

    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.

  9. YCbCr - Wikipedia

    en.wikipedia.org/wiki/YCbCr

    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.