文件列表:

blinddeconv\1.png (819464, 2011-12-21)
blinddeconv\Blind Deconvolution.pdf (14394572, 2011-12-21)
blinddeconv\center_kernel_separate.m (988, 2011-06-28)
blinddeconv\deblur.jpg (58373, 2011-12-21)
blinddeconv\fast_deconv_bregman.m (3169, 2011-05-26)
blinddeconv\fishes.jpg (59141, 2011-05-26)
blinddeconv\lyndsey.tif (3957468, 2011-05-26)
blinddeconv\ms_blind_deconv.asv (5935, 2011-12-21)
blinddeconv\ms_blind_deconv.m (5935, 2011-12-21)
blinddeconv\mukta.jpg (142355, 2011-05-26)
blinddeconv\pcg_kernel_core_irls_conv.m (448, 2011-02-03)
blinddeconv\pcg_kernel_irls_conv.m (2194, 2011-05-26)
blinddeconv\pietro.tif (1489716, 2011-05-26)
blinddeconv\solve_image_bregman.asv (6072, 2011-12-21)
blinddeconv\solve_image_bregman.m (6074, 2011-01-30)
blinddeconv\ss_blind_deconv.m (3385, 2011-06-28)
blinddeconv\test_blind_deconv.asv (1903, 2011-12-21)
blinddeconv\test_blind_deconv.m (1931, 2011-12-21)
blinddeconv (0, 2011-12-21)

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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