📄 psnr.m
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function n = psnr(x, y)%PSNR Compute the peak signal to noise ratio between two images% PSNR(X, Y) computes the peak signal to noise ratio in decibels (dB)% between images X and Y.% The images are assumed to have 256 gray levels (0 .. 255).%% Class support for inputs X and Y:% float: double, single% integer: uint*, int*%% See also SNR, IMMSE.% % Author: Stefan Roth, Department of Computer Science, Brown University% Contact: roth@cs.brown.edu% $Date: 2005-06-08 17:10:38 -0400 (Wed, 08 Jun 2005) $% $Revision: 48 $% Copyright 2004,2005, Brown University, Providence, RI.% % All Rights Reserved% % Permission to use, copy, modify, and distribute this software and its% documentation for any purpose other than its incorporation into a% commercial product is hereby granted without fee, provided that the% above copyright notice appear in all copies and that both that% copyright notice and this permission notice appear in supporting% documentation, and that the name of Brown University not be used in% advertising or publicity pertaining to distribution of the software% without specific, written prior permission.% % BROWN UNIVERSITY DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE,% INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR ANY% PARTICULAR PURPOSE. IN NO EVENT SHALL BROWN UNIVERSITY BE LIABLE FOR% ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES% WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN% ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF% OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. diff = double(x) - double(y); n = 20 * log10(255 / std(diff(:)));
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