GSR_Code_Package_2.0
所属分类:matlab编程
开发工具:matlab
文件大小:2750KB
下载次数:22
上传日期:2015-06-12 19:21:33
上 传 者:
love142857
说明: Structural Group Sparse Representation for Image Compressive Sensing Recovery
文件列表:
GSR_Code_Package_2.0\GSR for Compressive Sensing\Demo_Image_CS_Recovery_via_GSR.m (4189, 2014-04-17)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Test_Images\Barbara256.tif (66386, 2009-03-16)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Test_Images\House256.tif (66020, 2012-11-07)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Test_Images\Leaves256.tif (64534, 2012-11-07)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Test_Images\Vessels96.tif (9484, 2012-11-08)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\BCS_GSR_Decoder_SBI_Iter.m (1376, 2014-04-17)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\blow.m (168, 2004-07-01)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\cal_ssim.m (6168, 2009-05-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\ComputeColNo.m (93, 2013-10-20)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\ComputeRowNo.m (149, 2013-10-20)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\backsamp.m (1119, 2003-09-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\ChangeLog (2390, 2003-11-12)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\computescale.m (5127, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\Contents.m (3537, 2003-11-11)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\COPYING (706, 2003-11-11)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\decdemo.m (3437, 2003-11-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\denoisedemo.m (2472, 2003-11-13)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfbdec.m (2223, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfbdec_l.m (1768, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfbimage.m (1748, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfbrec.m (2012, 2003-11-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfbrec_l.m (1736, 2003-11-06)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dfilters.m (2729, 2003-11-06)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\dup.m (755, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\efilter2.m (1103, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\extend2.m (1861, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\fbdec.m (2098, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\fbdec_l.m (1507, 2003-11-06)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\fbrec.m (2360, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\fbrec_l.m (1426, 2003-11-06)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\ffilters.m (485, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\ld2quin.m (856, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\ldfilter.m (662, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\lpdec.m (722, 2003-09-13)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\lprec.m (935, 2003-09-13)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\mctrans.m (882, 2003-11-05)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\modulate2.m (775, 2003-04-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\nlademo.m (5507, 2003-11-10)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\nlademo2.m (1238, 2003-11-11)
GSR_Code_Package_2.0\GSR for Compressive Sensing\Utilities\contourlet_toolbox\pdfb2vec.m (1254, 2003-11-12)
... ...
% ==============================================================================
%
% Group-based Sparse Representation for Image Restoration
%
%
% Version 2.0, 14-April-2014
%
% Copyright (C) 2014 Jian Zhang
%
% ==============================================================================
%
% OVERVIEW:
%
% These MATLAB programs implement the image restoration algorithms via
% group-based sparse representation (GSR) modeling as described in paper:
%
% Title: Group-based Sparse Representation for Image Restoration
% Author: Jian Zhang, Debin Zhao, Wen Gao
% State: IEEE Transactions on Image Processing (under review)
%
%
% Specifically, this packages contains the implementions for three
% applications: image inpainting, image deblurring and image compressive
% sensing recovery, which can be found in each directory.
%
%
% This code relies on
% Wavelet Software package(http://eeweb.poly.edu/iselesni/WaveletSoftware/)
% Pascal Getreuer's Wavelet CDF 9/7 package (http://www.getreuer.info/home/waveletcdf97)
% FSIM-Feature Similarity Index (http://www4.comp.polyu.edu.hk/~cslzhang/IQA/FSIM/FSIM.htm)
% MH-BCS-SPL package(http://www.ece.msstate.edu/~fowler/BCSSPL/)
% All will need to reside within the current MATLAB search path.
%
%
%
% ==============================================================================
%
%
% AVAILABILITY:
%
% For updated versions of GSR,consult: http://idm.pku.edu.cn/staff/zhangjian/GSR/
%
%
% ==============================================================================
%
%
% COPYRIGHT AND LICENSE INFORMATION:
%
% Copyright (C) 2014 Jian Zhang
%
% The programs herein are free software; you can redistribute
% them and/or modify them under the terms of the GNU General Public License
% as published by the Free Software Foundation; either version 2
% of the License, or (at your option) any later version.
%
% All programs herein are distributed in the hope that
% they will be useful, but WITHOUT ANY WARRANTY; without even the implied
% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See
% the full text of the appropriate license for more details.
%
%
% ==============================================================================
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