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  2. RGB color model - Wikipedia

    en.wikipedia.org/wiki/RGB_color_model

    Full color image along with its R, G, and B components Additive color mixing demonstrated with CD covers used as beam splitters A diagram demonstrating additive color with RGB. The RGB color model is an additive color model [1] in which the red, green, and blue primary colors of light are added together in various ways to reproduce a broad ...

  3. List of color spaces and their uses - Wikipedia

    en.wikipedia.org/wiki/List_of_color_spaces_and...

    RGB (red, green, blue) describes the chromaticity component of a given color, when excluding luminance. RGB itself is not a color space, it is a color model. There are many different color spaces that employ this color model to describe their chromaticities because the R/G/B chromaticities are one facet for reproducing color in CRT & LED displays.

  4. Comparison of color models in computer graphics - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_color_models...

    A color wheel is a tool that provides a visual representation of the relationships between all possible hues. The primary colors are arranged around a circle at equal (120 degree) intervals. (Warning: Color wheels frequently depict "Painter's Colors" primary colors, which leads to a different set of hues than additive colors.)

  5. HCL color space - Wikipedia

    en.wikipedia.org/wiki/HCL_color_space

    The "attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic". [8] The HSL and HSV color spaces are more intuitive translations of the RGB color space, because they provide a single hue number. However, their luminance variation does not match the way humans perceive color.

  6. Color histogram - Wikipedia

    en.wikipedia.org/wiki/Color_histogram

    Color histograms are flexible constructs that can be built from images in various color spaces, whether RGB, rg chromaticity or any other color space of any dimension. A histogram of an image is produced first by discretization of the colors in the image into a number of bins, and counting the number of image pixels in each bin.

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