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Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
In computer graphics, a palette is the set of available colors from which an image can be made. In some systems, the palette is fixed by the hardware design, and in others it is dynamic, typically implemented via a color lookup table (CLUT), a correspondence table in which selected colors from a certain color space's color reproduction range are assigned an index, by which they can be referenced.
A 2-bit indexed color image. The color of each pixel is represented by a number; each number (the index) corresponds to a color in the color table (the palette).. In computing, indexed color is a technique to manage digital images' colors in a limited fashion, in order to save computer memory and file storage, while speeding up display refresh and file transfers.
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.
Example of an RGBA image composited over a checkerboard background. alpha is 0% at the top and 100% at the bottom. RGBA stands for red green blue alpha.While it is sometimes described as a color space, it is actually a three-channel RGB color model supplemented with a fourth alpha channel.
This is an example of a color RGB image stored in PPM format. (Not shown are the newline character(s) at the end of each line.) Image (magnified) P3 # "P3" means this is a RGB color image in ASCII # "3 2" is the width and height of the image in pixels # "255" is the maximum value for each color # This, up through the "255" line below are the ...
After the image partitioning stage, a single representative color is selected from each block. Any method to select the representative color can be applied, but the standard recommends the use of the average of the pixel colors in a block as the corresponding representative color, since it is simpler and the description accuracy is sufficient in general.
A mapping might be implemented using tables of color values to be interpolated or be implemented using a series of mathematical formulae. A profile might define several mappings, according to rendering intent. These mappings allow a choice between closest possible color matching, and remapping the entire color range to allow for different gamuts.