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 Hu Chunming
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Boost Generic Image Library
===========================
The Generic Image Library (GIL) is a C++14 header-only library that abstracts image
representations from algorithms and allows writing code that can work on
a variety of images with performance similar to hand-writing for a specific
image type.
Quickstart
----------
.. toctree::
:maxdepth: 1
installation
tutorial/video
tutorial/histogram
tutorial/gradient
naming
Core Library Documentation
--------------------------
.. toctree::
:maxdepth: 2
design/index
image_processing/index
histogram/index
API Reference <./reference/index.html#://>
Extensions Documentation
------------------------
.. toctree::
:maxdepth: 2
io
toolbox
numeric
histogram/extension/index
Examples
--------
* :download:`x_gradient.cpp <../example/x_gradient.cpp>`:
Writing an algorithm that operates on generic images
* :download:`dynamic_image.cpp <../example/dynamic_image.cpp>`:
Using images whose properties (color space, channel type) are specified
at run time
* :download:`histogram.cpp <../example/histogram.cpp>`: Creating a histogram
* :download:`interleaved_ptr.cpp <../example/interleaved_ptr.cpp>`,
:download:`interleaved_ptr.hpp <../example/interleaved_ptr.hpp>`,
:download:`interleaved_ref.hpp <../example/interleaved_ref.hpp>`:
Creating your own pixel reference and pixel iterator
* :download:`mandelbrot.cpp <../example/mandelbrot.cpp>`:
Creating a synthetic image defined by a function
* :download:`packed_pixel.cpp <../example/packed_pixel.cpp>`:
Defining bitmasks and images whose channels or pixels are not byte-aligned
* :download:`resize.cpp <../example/resize.cpp>`:
Rescaling an image using bilinear sampling (requires the optional
Numeric extension)
* :download:`affine.cpp <../example/affine.cpp>`:
Applying an affine transformation to an image (requires the optional
Numeric extension)
* :download:`convolution.cpp <../example/convolution.cpp>`:
Blurring images (requires the optional Numeric extension)
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