Blind-Deconvolution-
所属分类:图形图像处理
开发工具:matlab
文件大小:6722KB
下载次数:69
上传日期:2013-03-29 21:19:07
上 传 者:
lsplut
说明: Blind Deconvolution Using a Normalized Sparsity Measure 的代码
(matlab code for Blind Deconvolution Using a Normalized Sparsity Measure )
文件列表:
文章代码\blinddeconv.tgz (3688758, 2012-03-21)
文章代码\center_kernel_separate.m (988, 2011-06-28)
文章代码\fast_deconv_bregman.m (3169, 2011-05-26)
文章代码\fishes.jpg (59141, 2011-05-26)
文章代码\lyndsey.tif (3957468, 2011-05-26)
文章代码\ms_blind_deconv.m (5929, 2011-06-28)
文章代码\mukta.jpg (142355, 2011-05-26)
文章代码\pcg_kernel_core_irls_conv.m (448, 2011-02-03)
文章代码\pcg_kernel_irls_conv.m (2194, 2011-05-26)
文章代码\pietro.tif (1489716, 2011-05-26)
文章代码\solve_image_bregman.m (6074, 2011-01-30)
文章代码\ss_blind_deconv.m (3385, 2011-06-28)
文章代码\test_blind_deconv.m (1862, 2011-06-28)
文章代码 (0, 2012-11-18)
This package contains the implementation of the blind deconvolution
algorithm presented in the paper:
"Blind Deconvolution using a Normalized Sparsity Measure", Dilip
Krishnan, Terence Tay and Rob Fergus.
Use of this code is free for research purposes only.
(c) Dilip Krishnan, Rob Fergus. Email: dilip@cs.nyu.edu, May 2011.
This package contains a set of Matlab files that have been tested on
Matlab 7.11 (R2011b) on Red Hat Linux. A few test images have also
been provided.
The top-level function that to be run is test_blind_deconv.m; here one
may specify the file name that is to be read in. The code is
documented and should be self-explanatory.
To report any bugs, please email: Dilip Krishnan, dilip@cs.nyu.edu
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