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<html><head><title>Preface</title><link rel="stylesheet" type="text/css" href="effbot.css" /></head><body><div class="preface"><h1 style="preface">Preface</h1><p><i>This document describes the Python Imaging Library,
version 1.1, including some PIL Plus extensions.  It was last updated
April 30, 2001.</i></p><div class="sect1"><h2 style="sect1">Introduction</h2><p>The <b>Python Imaging Library</b> adds image
processing capabilities to your Python interpreter.</p><p>This library provides extensive file format support, an
efficient internal representation, and powerful image processing
capabilities.</p><p>The core image library is designed for fast access to data
stored in a few, basic pixel formats. It should be well suited as a
base for a general image processing tool.</p><p>Let's look at a few possible uses for this library:</p><div class="sect2"><h3 style="sect2">Image Archives</h3><p>The Python Imaging Library is well suited for image archival and
batch processing applications. You can use the library to create
thumbnails, convert between file formats, print images, etc.</p><p>The current version identifies and reads a large number of
formats. Write support is intentionally restricted to the most
commonly used interchange and presentation formats.</p></div><div class="sect2"><h3 style="sect2">Image Display</h3><p>The current release includes Tk <tt>PhotoImage</tt>
and <tt>BitmapImage</tt> interfaces, as well as a Windows
<tt>DIB</tt> interface that can be used with
PythonWin.</p><p>For debugging, there's also a <tt>show</tt> method
in the Unix version which calls <i>xv</i> to display the
image.</p></div><div class="sect2"><h3 style="sect2">Image Processing</h3><p>The library contains some basic image processing functionality,
including point operations, filtering with a set of built-in
convolution kernels, and colour space conversions.</p><p>The library also supports image resizing, rotation and arbitrary
affine transforms.</p><p>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.</p></div></div></div></body></html>