GREYCstoration 2.5.2.1

GREYCstoration is an image regularization algorithm which processes an image by locally removing small variations of pixel intensities while preserving significant global image features, such as sharp edges and corners.
The most direct application of image regularization is denoising. By extension, GREYCstoration can also be used to inpaint or resize images.
GREYCstoration is based on state-of-the-art methods using nonlinear multi-valued diffusion PDEs (Partial Differential Equations) for image regularization. This kind of method generally outperforms basic image filtering techniques (such as convolution, median filtering, etc.), classically encountered in painting programs.
Other image denoising plugins are available (for instance, Noise Ninja, Neat Image ) but are not free, and the corresponding algorithms are kept secret.
Enhancements:
- This release consumes far less memory than the previous version (2.4.2), so it can deal with very large images.
- There are now processing modes for 16-bit/components and 32-bit float-valued images, as well as multi-thread support.
- A brand new plug-in for the GIMP is provided.