FastHyDe: A fast hyperspectral image denoiser
Version 1.0 (482 Bytes) by
Lina Zhuang
A fast hyperspectral image denoising method and an inpainting method based on low-rank and sparse representations.
%% 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. (ESI highly cited paper)
%
% 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
%
Cite As
Zhuang, Lina, and Jose M. Bioucas-Dias. “Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2018, pp. 730–42, doi:10.1109/jstars.2018.2796570.
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
