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  2. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.

  3. 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.

  4. Channel (digital image) - Wikipedia

    en.wikipedia.org/wiki/Channel_(digital_image)

    RGB channels roughly follow the color receptors in the human eye, and are used in computer displays and image scanners. If the RGB image is 24-bit (the industry standard as of 2005), each channel has 8 bits, for red, green, and blue—in other words, the image is composed of three images (one for each channel), where each image can store ...

  5. Blend modes - Wikipedia

    en.wikipedia.org/wiki/Blend_modes

    This is the standard blend mode which uses the top layer alone, [3] without mixing its colors with the layer beneath it: [example needed] (,) =where a is the value of a color channel in the underlying layer, and b is that of the corresponding channel of the upper layer.

  6. Color normalization - Wikipedia

    en.wikipedia.org/wiki/Color_normalization

    The grey world normalization makes the assumption that changes in the lighting spectrum can be modelled by three constant factors applied to the red, green and blue channels of color. [6] More specifically, a change in illuminated color can be modelled as a scaling α, β and γ in the R, G and B color channels and as such the grey world ...

  7. Co-occurrence matrix - Wikipedia

    en.wikipedia.org/wiki/Co-occurrence_matrix

    A co-occurrence matrix or co-occurrence distribution (also referred to as : gray-level co-occurrence matrices GLCMs) is a matrix that is defined over an image to be the distribution of co-occurring pixel values (grayscale values, or colors) at a given offset. It is used as an approach to texture analysis with various applications especially in ...

  8. Block-matching and 3D filtering - Wikipedia

    en.wikipedia.org/wiki/Block-matching_and_3D...

    RGB images can be processed much like grayscale ones. A luminance-chrominance transformation should be applied to the RGB image. The grouping is then completed on the luminance channel which contains most of the useful information and a higher SNR.

  9. Indexed color - Wikipedia

    en.wikipedia.org/wiki/Indexed_color

    A 2-bit indexed color image. The color of each pixel is represented by a number; each number (the index) corresponds to a color in the color table (the palette).. In computing, indexed color is a technique to manage digital images' colors in a limited fashion, in order to save computer memory and file storage, while speeding up display refresh and file transfers.