Tool to separate different channels (RGB, CMYK, HSV) in an image. The separation of the channels is used for component analysis of colors in an image.
Image Channels - dCode
Tag(s) : Image Processing
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Image Channels
Channels Separation
Answers to Questions (FAQ)
What are channels of an image? (Definition)
Colors are usually represented with several components, channels that can describe them. In computer, the display (via a screen) is achieved by 3 color components, the red, green and blue channels (RVG or RGB). In print (on paper), printing is done in four color components: the cyan, magenta, yellow and black channels.
On the web in general, the current representation is an encoding that uses additive colors with 3 components: red (R), green (G) and blue (B) (called RGB channels).
In all cases, from a color image, it is possible to separate each of the channels.
Example: Blue Channel 
What are CMYK channels?
In printing, the current representation is an encoding that uses subtractive colors with 4 layers: cyan, magenta, yellow and black (key) (see CMYK channels separation).
What are TSL channels?
In science and photography, prefer using a vector space of color with 3 parameters: hue, saturation and brightness (value), hence the name HSV channels.
Source code
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Cite as source (bibliography):
Image Channels on dCode.fr [online website], retrieved on 2022-09-29,
