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README.m
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%% The code and data herein distributed reproduces the results published in the paper
%
% L. Zhuang and Michael K. Ng,
% "Hyperspectral Mixed Noise Removal By1-Norm-Based Subspace
% Representation,” in IEEE Journal of Selected Topics in Applied
% Earth Observations and Remote Sensing, 2020.
%
% URL: URL: https://sites.google.com/hkbu.edu.hk/linazhuang/home
%
%% Notes:
%
% 1) Package instalation: unzip the files to a directory and run the
% script "runL1HyMixDe.m", which reproduce the
% results of L1HyMixDe reported in above paper.
%
%
% 2) The script L1HyMixDe.m uses 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) L1HyMixDe.m script 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, April 2020
%