文件列表:

ppbGauss\exemple_gauss.m (1005, 2010-06-24)
ppbGauss\lena.png (151199, 2010-06-24)
ppbGauss\plotimage.m (187, 2010-06-24)
ppbGauss\ppbGauss.mexa64 (635022, 2010-06-24)
ppbGauss\ppbGauss.mexglx (618285, 2010-06-24)
ppbGauss\ppbGauss.mexw32 (73728, 2010-06-24)
ppbGauss\ppb_gauss.m (5447, 2010-06-24)
ppbGauss\psnr.m (137, 2010-06-24)
ppbGauss (0, 2010-06-24)

PPB_GAUSS: Probabilistic Patch-Based filter for Gaussian noise ============================================================== Revision: 30 April 2009 Author: Charles-Alban Deledalle Web page: http://perso.telecom-paristech.fr/~deledall/ppb.php This MATLAB software implements the denoising algorithm (the Probabilistic Patch-Based filter) for images damaged by additive white Gaussian noise as presented in: "Iterative Weighted Maximum Likelihood Denoising with Probabilistic Patch-Based Weights", C.A. Deledalle, L. Denis and F. Tupin, IEEE Trans. on Image Processing, vol. 18, no. 12, pp. 2661-2672, December 2009. This software is free and should be used only for nonprofit purposes. Any unauthorized use of this software for industrial or profit-oriented activities is expressively prohibited. The program has been written for MATLAB with the ImageProcessing Toolbox for Linux 32-bit or ***-bit and Windows 32-bit. The following program files are present: - ppbGauss.mex*: A Mex function wich performs one iteration of the denoising algorithm. - ppb_gauss.m: A matlab function wich calls the ppbGauss.mexglx program to perform the iterative denoising. This function realize also a wrapping of the arguments which can be then given as described in our paper. Please refer to our paper for a more detailed description of the arguments. Note that this function ables to treat large images by preserving memory thanks to a block processing on 1024x1024 subimages. - exemple_gauss.m: An exemple of how to use the PPB filter. It denoises the Lena image (lena.png) corrupted by additive white Gaussian noise with standard deviation 40. The PPB filter is used with 2 sets of parameters. One applies the non-iterative PPB filter, the other one performs 4 iteration of the PPB filter with an initial estimate computing also with the PPB filter with a smaller search window size. - psnr.m: Computes the PSNR values. - plotimage.m: Plot a grayscale image with pixel values ranged on [0..255]. For any comment, suggestion or question please contact Charles-Alban Deledalle (deledalle@telecom-paristech.fr).

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