BRISQUE Software release.
========================================================================
-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2011 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)
and Center for Perceptual Systems (CPS, http://www.cps.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:
1) A. Mittal, A. K. Moorthy and A. C. Bovik, "BRISQUE Software Release",
URL: http://live.ece.utexas.edu/research/quality/BRISQUE_release.zip, 2011
2) A. Mittal, A. K. Moorthy and A. C. Bovik, "No Reference Image Quality Assessment in the Spatial Domain"
submitted
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------------%
Author : Anish Mittal
Version : 1.0
The authors are with the Laboratory for Image and Video Engineering
(LIVE), Department of Electrical and Computer Engineering, The
University of Texas at Austin, Austin, TX.
Kindly report any suggestions or corrections to mittal.anish@gmail.com
========================================================================
This is a demonstration of the Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) index.
The algorithm is described in:
A. Mittal, A. K. Moorthy and A. C. Bovik, "No Reference Image Quality Assessment in the Spatial Domain"
You can change this program as you like and use it anywhere, but please
refer to its original source (cite our paper and our web page at
http://live.ece.utexas.edu/research/quality/BRISQUE_release.zip).
========================================================================
Running on Matlab
Input : A test image loaded in an array
Output: A quality score of the image. The score typically has a value
between 0 and 100 (0 represents the best quality, 100 the worst).
Usage:
1. Load the image, for example
image = imread('testimage1.bmp');
2. Call this function to calculate the quality score:
qualityscore = brisquescore(image)
Dependencies:
Binaries: svm-predict, svm-scale (from LibSVM) - provided with release
MATLAB files: brisquescore.m, estimateggdparam.m, estimateaggdparam.m, brisque_feature.m (provided with release)
Data files: range_all, model_all (provided with release)
Image Files: testimage1.bmp, testimage2.bmp
NOTE: Please rename the .exe1 files to .exe files -- this code will work only on WINDOWS systems.
========================================================================
Note on training:
This release version of BRISQUE was trained on the entire LIVE database.
This program uses LibSVM binaries.
Below is the requried copyright notice for the binaries distributed with this release.
====================================================================
LibSVM tools: svm-predict, svm-scale (binaries)
--------------------------------------------------------------------
If you want to run this on a Linux distribution, you could change the lines
system('svm-scale -r allrange test_ind >> test_ind_scaled');
system('svm-predict -b 1 test_ind_scaled allmodel output >>dump');
to
system('wine svm-scale -r allrange test_ind >> test_ind_scaled');
system('wine svm-predict -b 1 test_ind_scaled allmodel output >>dump');
Ofcourse, this now requires "wine" to be installed.
Copyright (c) 2000-2009 Chih-Chung Chang and Chih-Jen Lin
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither name of copyright holders nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
====================================================================
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无参考图片质量检测BRISQUE在matlab上的源代码.zip.zip
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无参考图片质量检测BRISQUE在matlab上的源代码.zip.zip
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无参考图片质量检测BRISQUE在matlab上的源代码.zip.zip (16个子文件)
无参考图片质量检测BRISQUE在matlab上的源代码.zip
BRISQUE-master
No-Reference Image Quality Assessment in the Spatial Domain.pdf 2.69MB
code
brisque_feature.m 1KB
allrange 741B
brisquescore.m 838B
estimateggdparam.m 535B
svm-scale.exe 79KB
scn.jpg 6KB
allmodel 345KB
svm-predict.exe 105KB
output 9B
brisque_test.m 75B
test_ind 426B
test_ind_scaled 445B
dump 226B
estimateaggdparam.m 543B
readme.txt 6KB
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