NOISECOMP - Function for denoising an image Copyright

% NOISECOMP - Function for denoising an image
%
% function cleanimage = noisecomp(image, k, nscale, mult, norient, softness)
%
% Parameters:
%              k - No of standard deviations of noise to reject 2-3
%              nscale - No of filter scales to use (5-7) - the more scales used
%                       the more low frequencies are covered
%              mult   - multiplying factor between scales  (2.5-3)
%              norient - No of orientations to use (6)
%              softness - degree of soft thresholding (0-hard  1-soft)
%
% For maximum processing speed the input image should have a size that
% is a power of 2.  
%
% The convolutions are done via the FFT.  Many of the parameters relate 
% to the specification of the filters in the frequency plane.  
% The parameters are set within the file rather than being specified as 
% arguments because they rarely need to be changed - nor are they very
% critical.
%
% Reference:
% Peter Kovesi, "Phase Preserving Denoising of Images". 
% The Australian Pattern Recognition Society Conference: DICTA'99. 
% December 1999. Perth WA. pp 212-217
% http://www.cs.uwa.edu.au/pub/robvis/papers/pk/denoise.ps.gz. 
%
% Copyright (c) 1998-2000 Peter Kovesi
% School of Computer Science & Software Engineering
% The University of Western Australia
% http://www.csse.uwa.edu.au/
% 
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software without restriction, subject to the following conditions:
% 
% The above copyright notice and this permission notice shall be included in 
% all copies or substantial portions of the Software.
%
% The Software is provided "as is", without warranty of any kind.
% September 1998 - original version
% May 1999       - 
% May 2000       - modified to allow arbitrary size images

See also

Acknowledgements