文件列表:

bm4d.m (15322, 2012-04-17)
bm4d_thr_mex.mexa64 (21117, 2012-04-16)
bm4d_thr_mex.mexmaci64 (22896, 2012-04-16)
bm4d_thr_mex.mexw64 (17408, 2012-04-16)
bm4d_thr_rice_mex.mexa64 (20873, 2012-04-16)
bm4d_thr_rice_mex.mexmaci64 (22904, 2012-04-16)
bm4d_thr_rice_mex.mexw64 (20992, 2012-04-16)
bm4d_wie_mex.mexa64 (20309, 2012-04-16)
bm4d_wie_mex.mexmaci64 (22872, 2012-04-16)
bm4d_wie_mex.mexw64 (17408, 2012-04-16)
bm4d_wie_rice_mex.mexa64 (20305, 2012-04-16)
bm4d_wie_rice_mex.mexmaci64 (22880, 2012-04-16)
bm4d_wie_rice_mex.mexw64 (20480, 2012-04-16)
constantsSparseTraj3D.m (439, 2012-04-16)
dct3.m (438, 2011-09-09)
demo_denoising.m (5127, 2012-04-17)
demo_reconstruction.m (18716, 2012-04-17)
idct3.m (438, 2011-09-09)
imsfft2.m (158, 2011-12-14)
Legal_Notice.txt (2928, 2011-07-17)
msfft2.m (159, 2011-12-14)
sampling.m (10743, 2011-12-08)
SheppLogan3D.mat (262775, 2011-07-16)
ssim_index3d.m (6644, 2012-02-09)
t1_icbm_normal_1mm_pn0_rf0.rawb (7109137, 2011-07-16)
visualizeXsect.m (1378, 2011-11-18)

------------------------------------------------------------------- BM4D software for volumetric data denoising and reconstruction Public release ver. 2.0 (14 May 2012) ------------------------------------------------------------------- Copyright (c) 2011 Tampere University of Technology. All rights reserved. This work should be used for nonprofit purposes only. Authors: Matteo Maggioni Alessandro Foi BM4D web page: http://www.cs.tut.fi/~foi/GCF-BM3D ------------------------------------------------------------------- Contents ------------------------------------------------------------------- The package contains these files *) demo_denoising.m : denoising demo script *) demo_reconstruction.m : reconstruction demo script *) bm4d.m : BM4D volumetric denoising filter [1] *) sampling.m : 3-D sampling trajectories generator *) (i)msfft2.m : multi-slice 2-D FFT (inverse) transform *) (i)dct3.m : 3-D DCT (inverse) transform *) visualizeXsect.m : displays phantom cross-sections *) constantsSparseTraj3D.m : useful constants used by master scripts *) ssim_index3d.m : 3-D SSIM index [3,4] *) phantom3d.mat : 3-D Shepp-Logan phantom *) t1_icbm_normal_1mm_pn0_rf0.rawb : BrainWeb T1 phantom [2] ------------------------------------------------------------------- Installation & Usage ------------------------------------------------------------------- Unzip BM4D.zip (contains codes) in a folder that is in the MATLAB path. Execute the script "demo_reconstruction.m" to run the reconstruction demo, and execute the script "demo_denoising.m" to run a volumetric denoising demo. You can freely change the parameters involved in the filtering by modifying their initial value at the beginning of the master scripts. Comments will help you to understand their meaning. ------------------------------------------------------------------- Requirements ------------------------------------------------------------------- *) MS Windows *** bit, Linux *** bit or Mac OS X *** bit *) Matlab v.7.1 or later with installed: -- Image Processing Toolbox (for visualization with "imshow") -- Wavelet Toolbox *) VST framework for Rician-distributed data. Downloadable from http://www.cs.tut.fi/~foi/RiceOptVST/. Required for the denoising of Rician data, and for the reconstruction of phantom data with non-zero phase. ------------------------------------------------------------------- Change log ------------------------------------------------------------------- v2.0 (17 April 2012) + reconstruction of volumetric phantom data with non-zero phase from noisy and incomplete Fourier-domain (k-space) measurements + adaptive denoising for data corrupted by spatially varying noise v1.01 (18 July 2011) + fixed few typos, corrected lambda_thr4D in modified profile v1.0 (17 July 2011) + initial version ------------------------------------------------------------------- References ------------------------------------------------------------------- [1] M. Maggioni, V. Katkovnik, K. Egiazarian, A. Foi, "A Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction", submitted to IEEE Trans. Image Process., 2011. [2] R. Vincent, "Brainweb: Simulated brain database", online at http://mouldy.bic.mni.mcgill.ca/brainweb/, 2006. [3] Z. Wang, A. Bovik, H. Sheikh, E. Simoncelli, "Image quality assessment: from error visibility to structural similarity", IEEE Transactions on Image Processing, vol. 13, no. 4, 2004. [4] J. V. Manjon, P. Coupe, A. Buades, D. L. Collins, M. Robles, "New methods for MRI denoising based on sparseness and self-similarity, Medical Image Analysis (in press), 2011. ------------------------------------------------------------------- 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, as specified in the document Legal_Notice.txt (included in this package) and online at http://www.cs.tut.fi/~foi/GCF-BM3D/legal_notice.html ------------------------------------------------------------------- Feedback ------------------------------------------------------------------- If you have any comment, suggestion, or question, please do contact Matteo Maggioni at matteo.maggionitut.fi

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