Call for volunteers : We are looking for volunteers who could improve the code of the current GIMP plug-in,
by integrating missing functionalities that are already present in the command line version
(color base facilities, introduced in v.2.6 + patch-based diffusion, introduced in v.2.8).
Basically, if you are a developper interested in GREYCstoration and having knowledges in C++, GTK/GIMP programming,
feel free to contact us !
::What is it ?
GREYCstoration is an image regularization algorithm which is able to process a color image by
locally removing small variations of pixel intensities while preserving significant global
image features, such as edges and corners.
The most direct application of image regularization is image denoising. By extension, it can also be used
to inpaint or resize images.
GREYCstoration is based on state-of-the-art image processing methods using
nonlinear multi-valued diffusion PDE's
(Partial Differential Equations).
This kind of method generally outperforms basic image filtering techniques
(such as convolution, median filtering, etc.), classically encountered in image painting programs.
Other comparable image denoising techniques are available (for instance,
Noise Ninja,
Neat Image
) but are not open-source, and the corresponding algorithms are kept secret.
On the contrary, the source code of GREYCstoration is freely available and distributed under the
CeCILL License
(compatible with the well-known GPL). It gives similar results (not to say better) to
existing closed-source denoising filters, and is absolutely free to use.
The GREYCstoration algorithm is the logical sequel of my PhD work done in the
Odyssee Team at the
INRIA Sophia-Antipolis, under the supervision
of Rachid Deriche.
I had the great pleasure to write some papers about vector-valued regularization PDE's with him,
more precisely :
