ms-bcs-spl-1.2-2

所属分类:matlab编程
开发工具:Visual C++
文件大小:948KB
下载次数:41
上传日期:2013-04-22 23:05:20
上 传 者neetha
说明:  matlab code for image compressive sensing. block compressive sensing is used.

文件列表:
ms-bcs-spl-1.2-2\BlockDWT.m (2028, 2012-08-17)
ms-bcs-spl-1.2-2\Images\barbara.pgm (262308, 2012-08-17)
ms-bcs-spl-1.2-2\Images\goldhill.pgm (262299, 2012-08-17)
ms-bcs-spl-1.2-2\Images\lenna.pgm (262302, 2012-08-17)
ms-bcs-spl-1.2-2\Images\mandrill.pgm (262218, 2012-08-17)
ms-bcs-spl-1.2-2\Images\peppers.pgm (262230, 2012-08-17)
ms-bcs-spl-1.2-2\InverseBlockDWT.m (2183, 2012-08-17)
ms-bcs-spl-1.2-2\LICENSE-GPL (18347, 2012-08-17)
ms-bcs-spl-1.2-2\MS_BCS_SPL_DDWT_Decoder.m (6245, 2012-08-17)
ms-bcs-spl-1.2-2\MS_BCS_SPL_Encoder.m (1703, 2012-08-17)
ms-bcs-spl-1.2-2\MS_BCS_SPL_GenerateProjection.m (3984, 2012-08-17)
ms-bcs-spl-1.2-2\MS_BCS_SPL_GetSubrates.m (1805, 2012-08-17)
ms-bcs-spl-1.2-2\MS_GPSR_Decoder.m (3010, 2012-08-17)
ms-bcs-spl-1.2-2\MS_GPSR_Encoder.m (2148, 2012-08-17)
ms-bcs-spl-1.2-2\MS_GPSR_GenerateProjection.m (3746, 2012-08-17)
ms-bcs-spl-1.2-2\run_experiment_bcsspl.m (2634, 2012-08-17)
ms-bcs-spl-1.2-2\run_experiment_msbcsspl.m (3126, 2012-08-17)
ms-bcs-spl-1.2-2\run_experiment_msgpsr.m (3174, 2012-08-17)
ms-bcs-spl-1.2-2\run_experiment_tv.m (2769, 2012-08-17)
ms-bcs-spl-1.2-2\Images (0, 2013-01-03)
ms-bcs-spl-1.2-2 (0, 2013-01-03)

============================================================================== MS-BCS-SPL Version 1.2, 19-jul-2012 Copyright (C) 2012 James E. Fowler ============================================================================== OVERVIEW: These MATLAB programs implement the Multiscale Block Compressed Sensing - Smoothed Projected Landweber (MS-BCS-SPL) algorithm as described in paper: J. E. Fowler, S. Mun, and E. W. Tramel, "Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction," in Proceedings of the European Signal Processing Conference, Barcelona, Spain, August 2011, pp. 5***-568. Specifically, this code reproduces the experiment results of the paper (Table 2), for the MS-BCS-SPL, BCS-SPL, TV, and MS-GPSR algorithms. Respectively, the code for these is: run_experiment_msbcsspl.m run_experiment_bscspl.m run_experiment_tv.m run_experiment_msgpsra.m This code relies on the BCS-SPL package (http://www.ece.msstate.edu/~fowler/BCSSPL/), the l1-magic package (http://www.acm.caltech.edu/l1magic/), the GPSR package (http://www.lx.it.pt/~mtf/GPSR/), the Structurally Random Matrix Toolbox package (http://thanglong.ece.jhu.edu/CS/), the Wavelet Software package (http://eeweb.poly.edu/iselesni/WaveletSoftware/), and Pascal Getreuer's Wavelet CDF 9/7 package (http://www.getreuer.info/home/waveletcdf97). All 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 MS-BCS-SPL, as well as the article on which it is based, consult: http://www.ece.msstate.edu/~fowler/BCSSPL/ ============================================================================== COPYRIGHT AND LICENSE INFORMATION: Copyright (C) 2012 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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