----------------------------------------------------------------------- Image Filtering Software based on Nonlocal Foveated Self-Similarity Release ver. 2.12 (May 15, 2016) ----------------------------------------------------------------------- Copyright (c) 2011-2016 Tampere University of Technology. All rights reserved. This work should be used for nonprofit purposes only. Authors: Alessandro Foi Giacomo Boracchi web page: http://www.cs.tut.fi/~foi/FoveatedNL/ ----------------------------------------------------------------------- Contents ----------------------------------------------------------------------- The package implements the method(s) published in [1-3] and contains the following files: *) demo_AnisFovNLM.m : main demo script *) AnisFovNLM.m : Anisotropic Foveated Nonlocal Means filter *) makeFovBlurKernels.m : builds the constrained set of blur kernels that compose the foveation operator *) makeMosaic.m : draws the mosaic of blur kernels that compose the fovation operator *) Man_fragment256.tif : small image for running the demo *) README.txt : (this file) *) LEGAL_NOTICE.txt : legal information related to this files *) FovNLM_v1p12.zip : older codes from [1], ver. 1.12 (isotropic only) ----------------------------------------------------------------------- Requirements ----------------------------------------------------------------------- *) Matlab ver. 7.5 or later ----------------------------------------------------------------------- Instructions ----------------------------------------------------------------------- Instructions, syntax, and usage examples can be found in the comment headers of the Matlab files. ----------------------------------------------------------------------- Change log ----------------------------------------------------------------------- v2.12 (15 May 2016) * Minor fixes (initialization of settings, extrapolation of parameters for very large or very small sigma) + Added DOI to references v2.1 (8 July 2015) * Minor fixes (meshgrid of Gaussian PDF, varsigma iterate stepping) * Changes in variable and file names + SVD illustrations + Operator illustrations when AnisFovNLM.m is executed without input + Default parameters for very small noise sigma v2.01 (9 October 2014) + Separate loop for windowing v2.00 (4 October 2014) + Anisotropic codes released v1.12 (16 February 2012) * Improved comments and notation v1.11 (13 February 2012) * Improved comments v1.1 (8 February 2012) + Code optimization and first public release v1.0 (28 December 2011) * Minor fixes (padding etc.) v0.9 (30 July 2011) + Initial code ----------------------------------------------------------------------- References ----------------------------------------------------------------------- [1] A. Foi and G. Boracchi, "Foveated self-similarity in nonlocal image filtering", Proc. IS&T/SPIE EI2012 - Human Vision and Electronic Imaging XVII, 8291-32, Burlingame (CA), USA, Jan. 2012. http://doi.org/10.1117/12.912217 [2] A. Foi and G. Boracchi, "Anisotropically Foveated Nonlocal Image Denoising", Proc. IEEE Int. Conf. Image Process. (ICIP 2013), pp. 464-468, Melbourne, Australia, Sep. 2013. http://doi.org/10.1109/ICIP.2013.6738096 [3] A. Foi and G. Boracchi, "Foveated nonlocal self-similarity", to appear in Int. J. Computer Vision, 2016. http://doi.org/10.1007/s11263-016-0898-1 All available online at http://www.cs.tut.fi/~foi/ ----------------------------------------------------------------------- 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/FoveatedNL/legal_notice.html ----------------------------------------------------------------------- Feedback ----------------------------------------------------------------------- If you have any comment, suggestion, or question, please do contact Alessandro Foi at firstname.lastname@tut.fi