BM3D 目前最流行的去噪算法

------------------------------------------------------------------ BM3D demo software for image/video restoration and enhancement Public release v1.7.2 (8 Dec 2009) ------------------------------------------------------------------ Copyright (c) 2006-2009 Tampere University of Technology. All rights reserved. This work should be used only for nonprofit purposes. Authors: Kostadin Dabov Alessandro Foi BM3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D ------------------------------------------------------------------ Contents ------------------------------------------------------------------ The package comprises these functions *) BM3D.m : BM3D grayscale-image denoising [1] *) CBM3D.m : CBM3D RGB-image denoising [2] *) VBM3D.m : VBM3D grayscale-video denoising [3] *) CVBM3D.m : CVBM3D RGB-video denoising *) BM3DSHARP.m : BM3D-SHARP grayscale-image sharepening & denoising [4] *) BM3DDEB.m : BM3D-DEB grayscale-image deblurring [5] For help on how to use these scripts, you can e.g. use "help BM3D" or "help CBM3D". Each demo calls MEX-functions that allow to change all possible parameters used in the algorithm from within the corresponding M-file. ------------------------------------------------------------------ Installation ------------------------------------------------------------------ Unzip both BM3D.zip (contains codes) and BM3D_images.zip (contains test images) in a folder that is in the MATLAB path. ------------------------------------------------------------------ Requirements ------------------------------------------------------------------ *) MS Windows (32- or 64-bit CPU) or Linux (32-bit or 64-bit CPU) note: CVBM3D supports only 32-bit Windows *) Matlab v.6.5 or later with installed: -- Image Processing Toolbox (for visualization with "imshow"), ------------------------------------------------------------------ What's new in this release ------------------------------------------------------------------ v1.7.2 + Fix the ouptut of CVBM3D to be in range [0,255] instead of in range [0,1] v1.7.1 + Fix a bug in VBM3D.m introduced in v1.7 that concerns the declipping v1.7 + Add CVBM3D.m script that performs denoising on RGB-videos with AWGN + Fix VBM3D.m to use declipping in the case when noisy AVI file is provided v1.6 + Make few fixes to the "getTransfMatrix" internal function. Now, if used with default parameters, BM3D does not require neither Wavelet, PDE, nor Signal Processing toolbox. + Add support for x86_64 Linux v1.5.1 + Fix bugs for older versions of Matlab + Add support for 32-bit Linux + improve the structure of the VBM3D.m script v1.5 + Add x86_64 version of the MEX-files that run on 64-bit Matlab under Windows + Add a missing function in BM3DDEB.m + Improves some of the comments in the codes + Fix a bug in VBM3D when only a input noisy video is provided v1.4.1 + Fix a bug in the grayscale-image deblurring codes and make these codes compatible with Matlab 7 or newer versions. v1.4 + Add grayscale-image deblurring v1.3 + Add grayscale-image joint sharpening and denoising v1.2.1 + Fix the output of the VBM3D to be the final Wiener estimate rather than the intermedaite basic estimate + Fix a problem when the original video is provided as a 3D matrix v1.2. + Add grayscale-video denoising files v1.1.3. + Add support for Linux x86-compatible platforms v1.1.2. + Fixed bugs related with Matlab v.6.1 v1.1.1. + Fixed bugs related with Matlab v.6 (e.g., "isfloat" was not available and "imshow" did not work with single precision) + Improved the usage examples shown by executing "help BM3D" or "help CBM3D" MATLAB commands v1.1. + Fixed a bug in comparisons of the image sizes, which was causing problems when executing "CBM3D(1,z,sigma);" + Fixed a bug that was causing a crash when the input images are of type "uint8" + Fixed a problem that has caused some versions of imshow to report an error + Fixed few typos in the comments of the functions + Made the parameters of the BM3D and the C-BM3D the same v1.0. Initial version. ------------------------------------------------------------------ Publications ------------------------------------------------------------------ [1] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3D transform-domain collaborative filtering," IEEE Trans. Image Process., vol. 16, no. 8, August 2007. [2] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space," Proc. IEEE Int. Conf. Image Process., ICIP 2007, San Antonio, TX, USA, September 2007. [3] K. Dabov, A. Foi, and K. Egiazarian, "Video denoising by sparse 3D transform-domain collaborative filtering," Proc. European Signal Process. Conf., EUSIPCO 2007, Poznan, Poland, September 2007. [4] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Joint image sharpening and denoising by 3D transform-domain collaborative filtering," Proc. 2007 Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2007, Moscow, Russia, September 2007. [5] K. Dabov, A. Foi, and K. Egiazarian, "Image restoration by sparse 3D transform-domain collaborative filtering," Proc. SPIE Electronic Imaging, January 2008. ------------------------------------------------------------------ Future additions ------------------------------------------------------------------ Image processing techniques based on the BM3D filtering: - signal-dependent noise removal, (Updates, examples, publications, presentations, etc. can be found at http://www.cs.tut.fi/~foi/GCF-BM3D) ------------------------------------------------------------------ Disclaimer ------------------------------------------------------------------ Any unauthorized use of these routines for industrial or profit- oriented activities is expressively prohibited. By downloading and/or using any of these files, you implicitly agree to all the terms of the TUT limited license: http://www.cs.tut.fi/~foi/GCF-BM3D/legal_notice.html ------------------------------------------------------------------ Feedback ------------------------------------------------------------------ If you have any comment, suggestion, or question, please do contact Kostadin Dabov at: dabov _at_ cs.tut.fi