BCS_SPL
所属分类:matlab编程
开发工具:matlab
文件大小:3977KB
下载次数:62
上传日期:2014-05-20 15:45:47
上 传 者:
Achillis
说明: 很好的压缩感知重构算法,分块的基于LandWeber投影的重构算法,效率很高
(Good compressed sensing reconstruction algorithm based LandWeber projection reconstruction algorithm chunked, high efficiency)
文件列表:
BCS_SPL (0, 2014-05-20)
BCS_SPL\arun_experiment_ct.m (1273, 2014-03-11)
BCS_SPL\arun_experiment_dct.m (1563, 2014-03-22)
BCS_SPL\arun_experiment_ddwt.m (1262, 2014-05-14)
BCS_SPL\arun_experiment_dwt.m (1199, 2014-03-11)
BCS_SPL\arun_experiment_msbcsspl.m (1978, 2014-05-14)
BCS_SPL\arun_experiment_msgpsr.m (1732, 2013-12-04)
BCS_SPL\arun_experiment_tv.m (1342, 2013-12-04)
BCS_SPL\BCS_SPL_CT_Decoder.m (3820, 2014-04-28)
BCS_SPL\BCS_SPL_DCT_Decoder.m (1391, 2014-03-19)
BCS_SPL\BCS_SPL_DDWT_Decoder.m (4940, 2009-08-08)
BCS_SPL\BCS_SPL_DWT_Decoder.m (2515, 2014-03-02)
BCS_SPL\BCS_SPL_Encoder.m (219, 2014-03-02)
BCS_SPL\BCS_SPL_GenerateProjection.m (357, 2013-12-05)
BCS_SPL\ContourletToolbox (0, 2014-05-20)
BCS_SPL\ContourletToolbox\backsamp.m (1119, 2003-09-11)
BCS_SPL\ContourletToolbox\barbara.png (177851, 2003-11-11)
BCS_SPL\ContourletToolbox\ChangeLog (2309, 2003-11-13)
BCS_SPL\ContourletToolbox\computescale.m (4967, 2003-11-05)
BCS_SPL\ContourletToolbox\Contents.m (3457, 2003-11-12)
BCS_SPL\ContourletToolbox\COPYING (691, 2003-11-12)
BCS_SPL\ContourletToolbox\decdemo.m (3334, 2003-11-11)
BCS_SPL\ContourletToolbox\denoisedemo.m (2390, 2003-11-13)
BCS_SPL\ContourletToolbox\dfbdec.m (2223, 2003-11-06)
BCS_SPL\ContourletToolbox\dfbdec_l.m (1700, 2003-11-06)
BCS_SPL\ContourletToolbox\dfbimage.m (1667, 2003-11-05)
BCS_SPL\ContourletToolbox\dfbrec.m (2012, 2003-11-10)
BCS_SPL\ContourletToolbox\dfbrec_l.m (1736, 2003-11-06)
BCS_SPL\ContourletToolbox\dfilters.m (2729, 2003-11-07)
BCS_SPL\ContourletToolbox\dup.m (755, 2003-04-11)
BCS_SPL\ContourletToolbox\efilter2.m (1103, 2003-04-11)
BCS_SPL\ContourletToolbox\extend2.m (1861, 2003-11-06)
BCS_SPL\ContourletToolbox\fbdec.m (2098, 2003-04-11)
BCS_SPL\ContourletToolbox\fbdec_l.m (1507, 2003-11-07)
BCS_SPL\ContourletToolbox\fbrec.m (2360, 2003-04-11)
BCS_SPL\ContourletToolbox\fbrec_l.m (1426, 2003-11-06)
BCS_SPL\ContourletToolbox\ffilters.m (485, 2003-04-11)
BCS_SPL\ContourletToolbox\ld2quin.m (856, 2003-04-11)
BCS_SPL\ContourletToolbox\ldfilter.m (662, 2003-11-05)
BCS_SPL\ContourletToolbox\lpdec.m (697, 2003-09-13)
... ...
==============================================================================
BCS-SPL
Version 1.2, 09-aug-2009
Copyright (C) 2009 James E. Fowler
==============================================================================
OVERVIEW:
These MATLAB programs implement the Block Compressed Sensing -
Smoothed Projected Landweber (BCS-SPL) algorithm as described in
paper:
S. Mun and J. E. Fowler, "Block Compressed Sensing of Images
Using Directional Transforms," submitted to the IEEE
International Conference on Image Processing, 2009
Specifically, this code reproduces the experiment results of the
paper (Table 1), for the BCS-SPL-CT, BCS-SPL-DDWT, BCS-SPL-DWT, and
BCS-SPL-DCT algorithms. Respectively, the code for these is:
run_experiment_ct.m
run_experiment_ddwt.m
run_experiment_dwt.m
run_experiment_dct.m
This code relies on the Contourlet Toolbox
(http://www.ifp.illinois.edu/~minhdo/software/) as well as the
Wavelet Software package (http://taco.poly.edu/WaveletSoftware/).
Both will need to reside within the current MATLAB search path.
Note that, since most of this code relies on random projections,
the results produced may differ slightly in appearance and
value from those of the paper.
==============================================================================
AVAILABILITY:
For updated versions of BCS-SPL, as well as the article on
which it is based, consult:
http://www.ece.msstate.edu/~fowler/
==============================================================================
COPYRIGHT AND LICENSE INFORMATION:
Copyright (C) 2009 James E. Fowler
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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