BM3D demo software for image/video restoration and enhancement
Public release v2.00 (30 January 2014)

Authors: Kostadin Dabov Aram Danieyan Alessandro Foi

BM3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D

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] *) IDDBM3D\Demo_IDDBM3D : IDDBM3D grayscale-image deblurring [8] *) BM3D-SAPCA\BM3DSAPCA2009 : BM3D-SAPCA grayscale-image denoising [9] *) BM3D_CFA.m : BM3D denoising of Bayer data [10]

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), Linux (32 bit or 64 bit) or Mac OS X (32 or 64 bit) *) Matlab v.7.1 or later with installed: -- Image Processing Toolbox (for visualization with "imshow") *) CVBM3D currently supports only 32-bit and 64-bit Windows. *) IDDBM3D currently supports only 32-bit and 64-bit Windows and requires Microsoft Visual C++ 2008 SP1 Redistributable Package to be installed. It can be downloaded from: (x86) http://www.microsoft.com/downloads/en/details.aspx?FamilyID=A5C84275-3B97-4AB7-A40D-3802B2AF5FC2 (x64) http://www.microsoft.com/downloads/en/details.aspx?FamilyID=BA9257CA-337F-4B40-8C14-157CFDFFEE4E

Change log

v2.00 (30 January 2014)

Added BM3D_CFA denoising algorithm for Bayer data [10]. ! Various fixes in BM3DDEB main script: now works correctly with asymmetric PSFs; corrected several typos which caused first or second collaborative filtering stages to fail whenever the block sizes and 2-D transforms differed from the default ones.

v1.9 (26 August 2011)

Added BM3D-SAPCA denoising algorithm [9].

v1.8 (4 July 2011)

Added IDDBM3D deblurring algorithm [8]. ! Improved float precision of BM3D, CBM3D, and BM3DDEB mex-files.

v1.7.6 (4 February 2011)

Added support for Matlab running on Mac OSX 32-bit . Changed the strong-noise parameters ("vn" profile) in CBM3D.m, as proposed in [6].

v1.7.5 (7 July 2010) . Changed the strong-noise parameters ("vn" profile) in BM3D.m, as proposed in [6].

v1.7.4 (3 May 2010)

Added support for Matlab running on Mac OSX 64-bit

v1.7.3 (15 March 2010) ! Fixed a problem with writing to AVI files in CVBM3D ! Fixed a problem with VBM3D when the input is a 3-D matrix

v1.7.2 (8 Dec 2009) ! Fixed the output of CVBM3D to be in range [0,255] instead of in range [0,1]

v1.7.1 (2 Dec 2009) ! Fixed a bug in VBM3D.m introduced in v1.7 that concerns the declipping

v1.7 (12 Nov 2009)

Added CVBM3D.m script that performs denoising on RGB-videos with AWGN ! Fixed VBM3D.m to use declipping in the case when noisy AVI file is provided

v1.6 (17 June 2009) ! Made few fixes to the "getTransfMatrix" internal function. If used with default parameters, BM3D no longer requires neither Wavelet, PDE, nor Signal Processing toolbox.

Added support for x86_64 Linux

v1.5.1 (20 Nov 2008) ! Fixed bugs for older versions of Matlab

Added support for 32-bit Linux
improved the structure of the VBM3D.m script

v1.5 (18 Oct 2008)

Added x86_64 version of the MEX-files that run on 64-bit Matlab under Windows
Added a missing function in BM3DDEB.m
Improves some of the comments in the codes ! Fixed a bug in VBM3D when only a input noisy video is provided

v1.4.1 (26 Feb 2008) ! Fixed a bug in the grayscale-image deblurring codes and made these codes compatible with Matlab 7 or newer versions.

v1.4 (1 Feb 2008)

Added grayscale-image deblurring

v1.3 (12 Oct 2007)

Added grayscale-image joint sharpening and denoising

v1.2.1 (4 Sept 2007) ! Fixed the output of the VBM3D to be the final Wiener estimate rather than the intermediate basic estimate ! Fixed a problem when the original video is provided as a 3D matrix

v1.2 (11 June 2007)

Added grayscale-video denoising files

v1.1.3 (4 May 2007)

Added support for Linux x86-compatible platforms

v1.1.2 ! Fixed bugs related with Matlab v.6.1

v1.1.1 (8 March 2007) ! 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 (6 March 2007) ! 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 (9 December 2006)

Initial version, based on BM3D-DFT [7] package (November 2005)

References

[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 '08, vol. 6812, no. 6812-1D, San Jose (CA), USA, January 2008.

[6] Y. Hou, C. Zhao, D. Yang, and Y. Cheng, 'Comment on "Image Denoising by Sparse 3D Transform-Domain Collaborative Filtering"' accepted for publication, IEEE Trans. Image Process., July, 2010.

[7] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising with block-matching and 3D filtering," Proc. SPIE Electronic Imaging '06, vol. 6064, no. 6064A-30, San Jose (CA), USA, January 2006.

[8] A.Danielyan, V. Katkovnik, and K. Egiazarian, "BM3D frames and variational image deblurring," accepted for publication in IEEE Trans. Image Process. Preprint online at http://www.cs.tut.fi/~foi/GCF-BM3D

[9] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "BM3D Image Denoising with Shape-Adaptive Principal Component Analysis", Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS'09), Saint-Malo, France, April 2009.

[10] A. Danielyan, M. Vehviläinen, A. Foi, V. Katkovnik, and K. Egiazarian, "Cross-color BM3D filtering of noisy raw data", Proc. Int. Workshop on Local and Non-Local Approx. in Image Process., LNLA 2009, Tuusula, Finland, pp. 125-129, August 2009.

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 Alessandro Foi at firstname.lastname@tut.fi

BM3D

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