------------------------------------------------------------------- V-BM4D software for video denoising Public release ver. 1.0 (11 December 2014) ------------------------------------------------------------------- Copyright (c) 2010-2014 Tampere University of Technology. All rights reserved. This work should be used for nonprofit purposes only. Authors: Matteo Maggioni Alessandro Foi V-BM4D web page: http://www.cs.tut.fi/~foi/GCF-BM3D ------------------------------------------------------------------- Contents ------------------------------------------------------------------- The package contains these files *) demo_denoising.m : denoising demo script *) vbm4d.m : V-BM4D video denoising filter *) read_video.m : reads data from video file ------------------------------------------------------------------- Installation & Usage ------------------------------------------------------------------- Unzip VBM4D.zip (contains codes) in a folder that is in the MATLAB path. Execute the script "demo_denoising.m" to run a video denoising demo. You can freely modify the parameters involved in the filtering at the beginning of the demo. ------------------------------------------------------------------- Requirements ------------------------------------------------------------------- *) MS Windows 64 bit, Linux 64 bit or Mac OS X 64 bit *) Matlab R2011b or later with installed: -- Image Processing Toolbox (only for visualization with "implay") -- Signal Processing Toolbox (only for non-default transforms in VBM4D) -- Wavelet Toolbox (only for non-default transforms in VBM4D) ------------------------------------------------------------------- Change log ------------------------------------------------------------------- v1.0 (11 December 2014) + initial version ------------------------------------------------------------------- References ------------------------------------------------------------------- [1] M. Maggioni, G. Boracchi, A. Foi, K. Egiazarian, "Video Denoising Using Separable 4D Nonlocal Spatiotemporal Transforms", Proc. SPIE Electronic Imaging 2011, Image Processing: Algorithms and Systems IX, 7870-2, San Francisco (CA), USA, January 2011. doi:10.1117/12.872569 [2] M. Maggioni, G. Boracchi, A. Foi, K. Egiazarian, "Video Denoising, Deblocking and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms", IEEE Trans. Image Proc., vol. 21, no. 9, Sep. 2012. doi:10.1109/TIP.2012.2199324 ------------------------------------------------------------------- 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