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Image Channels

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.

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Image Channels -

Tag(s) : Image Processing

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Image Channels

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Channels Separation

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Answers to Questions (FAQ)

What are channels of an image?

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 blue

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

dCode retains ownership of the online "Image Channels" source code. Except explicit open source licence (indicated CC / Creative Commons / free), the "Image Channels" algorithm, the applet or snippet (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, translator), or the "Image Channels" functions (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) and all data download, script, copy-paste, or API access for "Image Channels" are not public, same for offline use on PC, tablet, iPhone or Android ! Remainder : dCode is free to use.

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Questions / Comments

Thanks to your feedback and relevant comments, dCode has developed the best 'Image Channels' tool, so feel free to write! Thank you!


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