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  2. Integral channel feature - Wikipedia

    en.wikipedia.org/wiki/Integral_channel_feature

    Color and grayscale: As discussed above, we can easily extract color and grayscale channels from an image. Note that color channels could be RGB, LUV or HSV. LUV color channels have shown to be most informative among all color spaces. Linear filters: This is a simple method for generating channels.

  3. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    The number of channels depends on whether the image is grayscale or color and whether it has an alpha channel. PNG allows the following combinations of channels, called the color type. A demonstration of the color depth in a PNG file, in bits per channel. Left: 8 bits; Right: 16 bits. Note the artifacts, adjusted contrast for clarity.

  4. Channel (digital image) - Wikipedia

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

    A 32-bit CMYK image (the industry standard as of 2005) is made of four 8-bit channels, one for cyan, one for magenta, one for yellow, and one for key color (typically is black). 64-bit storage for CMYK images (16-bit per channel) is not common, since CMYK is usually device-dependent, whereas RGB is the generic standard for device-independent ...

  5. 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.

  6. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    pngcrush can also change the color type of the image. For a true-color image, changing the color type from 2 to 0 converts it to greyscale. Greyscale images are generally smaller than truecolor images because, in addition to the optional alpha channel, only one 8-bit channel is used per pixel

  7. Color moments - Wikipedia

    en.wikipedia.org/wiki/Color_moments

    Computing the features - Use the color moments formulae in order to compute the first three moments for each of the color channels in the image. For example, if the HSV color space is used, this means that for each of the images, 9 features in total will be computed (the first three order moments for the Hue, Saturation, and Value channels).

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    www.aol.com/lifestyle/the-best-kohls-cyber...

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  9. Alpha compositing - Wikipedia

    en.wikipedia.org/wiki/Alpha_compositing

    A color spectrum image with an alpha channel that falls off to zero at its base, where it is blended with the background color.. In computer graphics, alpha compositing or alpha blending is the process of combining one image with a background to create the appearance of partial or full transparency. [1]