论文信息 - Nonlocal discrete p -Laplacian driven image and manifold processing

Nonlocal discrete p -Laplacian driven image and manifold processing

A framework for non local discrete p-Laplacian regularization on Image and Manifold represented by weighted graphs of the arbitrary topologies is proposed. The proposed discrete framework unifies the local and non local regularization for image processing and extends them to the processing of any discrete data living on graphs. To cite this article: A. Elmoataz, O. Lezoray, S. Bougleux, C. R. Mecanique XXX (200X).

[1] Stanley Osher,et al. Deblurring and Denoising of Images by Nonlocal Functionals , 2005, Multiscale Model. Simul..

[2] Guy Gilboa,et al. Nonlocal Linear Image Regularization and Supervised Segmentation , 2007, Multiscale Model. Simul..

[3] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..

[4] Tony F. Chan,et al. Image processing and analysis - variational, PDE, wavelet, and stochastic methods , 2005 .

[5] Abderrahim Elmoataz,et al. Graph regularization for color image processing , 2007, Comput. Vis. Image Underst..

[6] A. Bensoussan,et al. Difference equations on weighted graphs , 2005 .