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The GREYCstoration algorithm is a free implementation of the different regularization PDE methods which were published in :
[1] D. Tschumperlé, L. Brun. Defining Some Variational Methods on the Space of Patches : Application to Multi-Valued Image Denoising and Registration, Research Report "Les Cahiers du GREYC", No.08-01, March 2008.
[2] D. Tschumperlé. Fast Anisotropic Smoothing of Multi-Valued Images using Curvature-Preserving PDE's, International Journal of Computer Vision, IJCV(68), No 1, June 2006, pp.65-82.
Other related articles can be found in :
[3] D. Tschumperlé. Curvature-Preserving Regularization of Multi-Valued Images using PDE's, European Conference on Computer Vision (ECCV'2006).
[4] D. Tschumperlé. LIC-Based Regularization of Multi-Valued Images, IEEE International Conference on Image Processing (ICIP), September 2005.
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 :
[5] D. Tschumperlé, R. Deriche. Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), April 2005,
[6] D. Tschumperlé, R. Deriche. Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications, IEEE Conference on Computer Vision and Pattern Recognition, 2003,

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