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
dCode is free and its tools are a valuable help in games, maths, geocaching, puzzles and problems to solve every day!
A suggestion ? a feedback ? a bug ? an idea ? Write to dCode!
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
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).
In science and photography, prefer using a vector space of color with 3 parameters: hue, saturation and brightness (value), hence the name HSV channels.
The copy-paste of the page "Image Channels" or any of its results, is allowed as long as you cite the online source
Reminder : dCode is free to use.