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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.
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.
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 ...
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.
WebP is a raster graphics file format developed by Google intended as a replacement for JPEG, PNG, and GIF file formats. It supports both lossy and lossless compression, [8] as well as animation and alpha transparency.
The software mainly consists of a number of command-line interface utilities for manipulating images. ImageMagick does not have a robust graphical user interface to edit images as do Adobe Photoshop and GIMP, but does include – for Unix-like operating systems – a basic native X Window GUI (called IMDisplay) for rendering and manipulating images and API libraries for many programming languages.
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To create single-color areas, the flood fill tool is often the easiest tool. First select an odd color (e.g. pink if there is no pink in the image) and experiment to find the right tolerance setting. Undo each time. Now you pick a main area color (try control-click while flood-fill is activated) and fill by clicking into each contiguous area.