Inpaintgimpplugin

### What is it

This is a plug-in for the popular open-source image processing software GIMP. Inpainting refers to the process of removing or recovering image regions by "inpainting" the surrounding image features into the region to be recovered.

### Examples

Click on the example to see detailed instructions on how to use the plug-in.

### Documentation

For step-by-step user tutorials please click on the above examples. For more detailed documentation on the plug-in parameters click here.

### Pre-compiled Binaries

##### Windows

You can grab a pre-compiled Windows distribution from here. This comes as a zip file which should be extracted into your GIMP user directory. For example, `C:\Users\username\.gimp-2.8\` would be the correct directory for user "username" and GIMP version 2.8.

##### Mac OS X

You can grab a pre-compiled Mac OS X distribution from here. This comes as a zip file which should be extracted into your GIMP user directory. For example, `/Users/username/Library/Application Support/GIMP/2.8/`.

### Compile from Source

Either get the source by downloading one of the two source downloads at the top of this page, or by cloning the git repository like so:

    $ git clone https://github.com/martinjrobins/inpaintGimpPlugin.git

Then change to the source root directory and configure and compile:

    $ ./configure
    $ make
    $ make install

To install the plugin to your user directory (does not require root access):

    $ ./configure --enable-user-install
    $ make
    $ make install

For more options and more detailed instructions, please refer to the package README

### Authors and Contributors

Plug-in based on original code and research performed by Thomas März (@maerztom or maerz@maths.ox.ac.uk)

GIMP Plug-in written by Martin Robinson (@martinjrobins or martin.robinson@maths.ox.ac.uk)

### References

Bornemann, F., & März, T. (2007). Fast image inpainting based on coherence transport. Journal of Mathematical Imaging and Vision, 28(3), 259-278. März, T. (2011). Image inpainting based on coherence transport with adapted distance functions. SIAM Journal on Imaging Sciences, 4(4), 981-1000. März, T. (2014) "A Well-Posedness Framework for Inpainting Based on Coherence Transport", Foundations of Compuatational Mathematics, (DOI) 10.1007/s10208-014-9199-7.