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readme.txt
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% -----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
% Copyright (c) 2005 The University of Texas at Austin
% All rights reserved.
%
% Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy,
% modify, and distribute this code (the source files) and its documentation for
% any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the
% original source of this code, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu)
% at the University of Texas at Austin (UT Austin,
% http://www.utexas.edu), is acknowledged in any publication that reports research using this code. The research
% is to be cited in the bibliography as:
%
% H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality", IEEE Transactions on
% Image Processing, (to appear).
%
% IN NO EVENT SHALL THE UNIVERSITY OF TEXAS AT AUSTIN BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL,
% OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF TEXAS
% AT AUSTIN HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
%
% THE UNIVERSITY OF TEXAS AT AUSTIN SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
% WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASE PROVIDED HEREUNDER IS ON AN "AS IS" BASIS,
% AND THE UNIVERSITY OF TEXAS AT AUSTIN HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
%
% -----------COPYRIGHT NOTICE ENDS WITH THIS LINE------------
This software release consists of a MULTISCALE PIXEL DOMAIN, SCALAR GSM implementation of the algorithm described in the paper:
H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing, (to appear).
Download manuscript draft from http://live.ece.utexas.edu in the Publications link.
THE PIXEL DOMAIN ALGORITHM IS NOT DESCRIBED IN THE PAPER. THIS IS A COMPUTATIONALLY SIMPLER
DERIVATIVE OF THE ALGORITHM PRESENTED IN THE PAPER
It consists of the following files:
readme.txt: this file
vifP_mscale.m: main function, call this to evaluate image quality
Input : (1) img1: The reference image as a matrix
(2) img2: The distorted image (order is important)
Output: (1) VIF the visual information fidelity measure between the two images
Default Usage:
Given 2 test images img1 and img2, whose dynamic range is 0-255
vif = vifvec(img1, img2);
Advanced Usage:
Users may want to modify the parameters in the code.
(1) Modify sigma_nsq to find tune for your image dataset.
Please read the paper for more details on interpretation of the results.
Email comments and bugfixes to hamid.sheikh@ieee.org