文件列表:

DemoRF3D.m (5660, 2014-09-22)
LEGAL_NOTICE.txt (2928, 2013-09-06)
LoadPSDs.m (2409, 2014-09-20)
LoadRealData.m (2776, 2014-09-19)
LoadSyntheticData.m (5411, 2014-09-22)
PSDkernels.mat (6237, 2014-09-11)
PSDs_bior.mat (5011, 2014-09-11)
PSDs_dct.mat (20719, 2014-09-11)
PSDs_haar.mat (5004, 2014-09-11)
RF3D.m (19812, 2014-09-22)
RF3D_8_mex.mexmaci64 (760076, 2014-09-11)
RF3D_8_mex.mexw64 (627712, 2014-09-11)

------------------------------------------------------------------- RF3D software for joint removal of random and fixed-pattern noise Public release ver. 1.0 (22 September 2014) ------------------------------------------------------------------- Copyright (c) 2011-2014 All rights reserved. All rights reserved. This work should be used for nonprofit purposes only. Authors: Enrique Sánchez-Monge Matteo Maggioni Alessandro Foi RF3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D ------------------------------------------------------------------- Contents ------------------------------------------------------------------- The package contains these files *) DemoRF3D.m : denoising demo script *) LoadPSDs.m : loads PSDs from .mat files *) LoadRealData.m : reads real noisy data *) LoadSyntheticData.m : reads a noise-free video and adds synthetic noise *) RF3D.m : RF3D denoising filter [1] *) PSDkernels.mat : global PSDs of the random and fixed- pattern noise used to generate synthetic noisy observations *) PSDs_bior.mat : PSDs of the random and fixed-pattern noise components defined with respect to 2D biorthogonal wavelet transform ('bior1.5' in Matlab) *) PSDs_dct.mat : PSDs defined with respect to 2D dct transform *) PSDs_haar.mat : PSDs defined with respect to 2D haar wavelet transform ------------------------------------------------------------------- Usage ------------------------------------------------------------------- Unzip RF3D.zip (contains codes) in a folder that is in the MATLAB path. Execute the script "DemoRF3D.m" to run the denoising demo. You can freely change the parameters involved in the filtering by modifying their values in the demo script. The sequences acquired by a FLIR Tau 320 camera, as well as a set of noise-free test sequences can be downloaded from the RF3D web page. These sequences should be used when using the provided demo. ------------------------------------------------------------------- Requirements ------------------------------------------------------------------- *) MS Windows *** bit or Mac OS X *** bit *) Matlab R2013a or later with installed: -- Image Processing Toolbox (for visualization with "implay") -- Wavelet Toolbox (only for non-default parameters in RF3D.m) ------------------------------------------------------------------- Change log ------------------------------------------------------------------- v1.0 (19 September 2014) + initial version ------------------------------------------------------------------- References ------------------------------------------------------------------- [1] M. Maggioni, E. Sánchez-Monge, A. Foi, "Joint removal of random and fixed-pattern noise through spatiotemporal video filtering", IEEE Transactions on Image Processing, vol.23, no.10, pp. 4282-4296, Oct. 2014 http://doi.org/10.1109/TIP.2014.2345261 ------------------------------------------------------------------- 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 Enrique Sánchez-Monge < esm _at_ noiselessimaging.com > Matteo Maggioni < matteo.maggioni _at_ tut.fi > Alessandro Foi < alessandro.foi _at_ tut.fi >

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