November 2015
Beginner to intermediate
302 pages
6h 17m
English
Python Imaging Library (PIL) enables image processing using Python. It has an extensive file format support and is powerful enough for image processing.
Some popular features of PIL are fast access to data, point operations, filtering, image resizing, rotation, and arbitrary affine transforms. For example, the histogram method allows us to get statistics about the images.
PIL can also be used for other purposes, such as batch processing, image archiving, creating thumbnails, conversion between image formats, and printing images.
PIL reads a large number of formats, while write support is (intentionally) restricted to the most commonly used interchange and presentation formats.
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