%% The code and data herein distributed reproduces the results published in % the paper % % L. Zhuang and J. Bioucas-Dias, "Hyperspectral image denoising and % inpainting based on low-rank and sparse representations", Submitted to % IEEE Journal of Selected Topics in Applied Earth Observations and Remote % Sensing, 2017. % % URL: http://www.lx.it.pt/~bioucas/files/submitted_ieee_jstars_2017.pdf % %% Notes: % % 1) Package instalation: unzip the files to a directory and run the % scripts of "runFastHyDe.m" and "runFastHyIn.m", which reproduce the % results of FastHyDe and FastHyIn reported in above paper. % % % 2) The script FastHyDe.m and FastHyIn.m use the package BM3D % (v2 (30 January 2014))to implement the denoising algorithm BM3D % introduced in % % K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by % sparse 3D transform-domain collaborative filtering," IEEE Trans. % Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007. % % The BM3D package is available at the % BM3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D % % Download this package and install it is the folder /BM3D % % % 3) FastHyDe.m FastHyIn.m scripts implents the respective algorithms. % %% ACKNOWLEDGMENTS % % The authors acknowledge the following individuals and organisations: % % % - Prof. Paolo Gamba from Pavia university, % for making the Pavia Centre data set available to the community. % % - Prof. David Landgrebe and Larry Biehl from Purdue University, % for making the Washington DC Mall data set available to the community. % % - Authors of BM3D method (Dr. Kostadin Dabov, Prof. Alessandro Foi, % Prof. Vladimir Katkovnik, and Prof. Karen Egiazarian) from Tampere % University of Technology, for making the BM3D demo software available % to the community. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Author: Lina Zhuang and Jose M. Bioucas Dias, July 2017 %
LinaZhuang/FastHyDe_FastHyIn
The code and data herein distributed reproduce the results published in the paper: Lina Zhuang and Jose M. Bioucas-Dias, "Hyperspectral image denoising and inpainting based on low-rank and sparse representations", Submitted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017.
MATLAB