robustnorm2.m

function c = robustnorm2(f, f_hat, sigma_noise)
% ROBUSTNORM2 - function used in normalized convolution
% sigma_noise is the standard deviation of the input noise

%% -----------------------------------------------------------------------
% SUPERRESOLUTION - Graphical User Interface for Super-Resolution Imaging
% Copyright (C) 2005-2007 Laboratory of Audiovisual Communications (LCAV), 
% Ecole Polytechnique Federale de Lausanne (EPFL), 
% CH-1015 Lausanne, Switzerland 
% 
% This program is free software; you can redistribute it and/or modify it 
% under the terms of the GNU General Public License as published by the 
% Free Software Foundation; either version 2 of the License, or (at your 
% option) any later version. This software is distributed in the hope that 
% it will be useful, but without any warranty; without even the implied 
% warranty of merchantability or fitness for a particular purpose. 
% See the GNU General Public License for more details 
% (enclosed in the file GPL). 
%
% Latest modifications: November 6, 2006 by Karim Krichane

c = exp(-((f-f_hat).^2) ./ 2*sigma_noise^2);