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47 lines
1.8 KiB
ReStructuredText
47 lines
1.8 KiB
ReStructuredText
Overview
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========
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The **Python Imaging Library** adds image processing capabilities to your
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Python interpreter.
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This library provides extensive file format support, an efficient internal
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representation, and fairly powerful image processing capabilities.
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The core image library is designed for fast access to data stored in a few
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basic pixel formats. It should provide a solid foundation for a general image
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processing tool.
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Let’s look at a few possible uses of this library.
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Image archives
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--------------
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The Python Imaging Library is ideal for image archival and batch processing
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applications. You can use the library to create thumbnails, convert between
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file formats, print images, etc.
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The current version identifies and reads a large number of formats. Write
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support is intentionally restricted to the most commonly used interchange and
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presentation formats.
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Image display
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-------------
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The current release includes Tk :py:class:`~PIL.ImageTk.PhotoImage` and
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:py:class:`~PIL.ImageTk.BitmapImage` interfaces, as well as a :py:mod:`Windows
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DIB interface <PIL.ImageWin>` that can be used with PythonWin and other
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Windows-based toolkits. Many other GUI toolkits come with some kind of PIL
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support.
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For debugging, there’s also a :py:meth:`~PIL.Image.Image.show` method which saves an image to
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disk, and calls an external display utility.
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Image processing
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----------------
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The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and colour space conversions.
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The library also supports image resizing, rotation and arbitrary affine transforms.
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There’s a histogram method allowing you to pull some statistics out of an image. This can be used for automatic contrast enhancement, and for global statistical analysis.
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