BIQI Software release.
========================================================================
-----------COPYRIGHT NOTICE STARTS WITH THIS LINE------------
Copyright (c) 2009 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. K. Moorthy and A. C. Bovik, "A Modular Framework for Constructing Blind
Universal Quality Indices", submitted to IEEE Signal Processing Letters (2009).
2. A. K. Moorthy and A. C. Bovik, "BIQI Software Release",
URL: http://live.ece.utexas.edu/research/quality/biqi.zip, 2009.
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 : Anush Krishna Moorthy
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 [email protected]
========================================================================
This is a demonstration of the Blind Image Quality Index (BIQI).
It is an implementation of the BIQI in the reference.
The algorithm is described in:
A. K. Moorthy and A. C. Bovik, "A Modular Framework for Constructing Blind
Universal Quality Indices", submitted to IEEE Signal Processing Letters (2009).
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/biqi.zip).
Input : A test 8bits/pixel grayscale image loaded in a 2-D 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 = rgb2gray(imread('testimage.jpg'));
2. Call this function to calculate the quality score:
quality = biqi(image)
Dependencies:
MATLAB Wavelet Toolbox
You may need the MATLAB Image Processing Toolbox
Binaries: svm-train, svm-scale (from LibSVM) - provided with release
Other m files: jpeg_quality_score.m (provided with release)
Data files: range2, range2_wn, range2_blur, range2_jp2k, model_89,
model_89_wn, model_89_blur, model_89_jp2k, range2_ff, model_89_ff (provided with release)
========================================================================
Note on training:
This release version of BIQI 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)
--------------------------------------------------------------------
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.
====================================================================
没有合适的资源?快使用搜索试试~ 我知道了~
Image Quality Metrics in Matlab.zip
共2000个文件
svn-base:1241个
m:672个
entries:90个
1.该资源内容由用户上传,如若侵权请联系客服进行举报
2.虚拟产品一经售出概不退款(资源遇到问题,请及时私信上传者)
2.虚拟产品一经售出概不退款(资源遇到问题,请及时私信上传者)
版权申诉
0 下载量 105 浏览量
2023-07-22
17:38:43
上传
评论
收藏 22.31MB ZIP 举报
温馨提示
Image Quality Metrics in Matlab.zip
资源推荐
资源详情
资源评论
收起资源包目录
Image Quality Metrics in Matlab.zip (2000个子文件)
-MacReadMe 3KB
range2.蟺.4 0B
corrDn.蟺.4 0B
histo.蟺.4 0B
upConv.蟺.4 0B
pointOp.蟺.4 0B
all-wcprops 17KB
all-wcprops 11KB
all-wcprops 11KB
all-wcprops 10KB
all-wcprops 8KB
all-wcprops 8KB
all-wcprops 5KB
all-wcprops 5KB
all-wcprops 4KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 3KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 2KB
all-wcprops 1KB
all-wcprops 1KB
all-wcprops 1KB
all-wcprops 1KB
all-wcprops 1KB
all-wcprops 944B
all-wcprops 826B
all-wcprops 792B
all-wcprops 774B
all-wcprops 759B
all-wcprops 748B
all-wcprops 733B
all-wcprops 728B
all-wcprops 717B
all-wcprops 706B
all-wcprops 696B
all-wcprops 696B
all-wcprops 693B
all-wcprops 681B
all-wcprops 665B
all-wcprops 665B
all-wcprops 661B
all-wcprops 661B
all-wcprops 643B
all-wcprops 578B
all-wcprops 550B
all-wcprops 530B
all-wcprops 523B
all-wcprops 518B
all-wcprops 511B
all-wcprops 504B
all-wcprops 466B
all-wcprops 458B
all-wcprops 449B
all-wcprops 444B
all-wcprops 440B
all-wcprops 432B
all-wcprops 358B
all-wcprops 343B
all-wcprops 283B
all-wcprops 278B
all-wcprops 254B
all-wcprops 222B
all-wcprops 214B
all-wcprops 200B
all-wcprops 126B
all-wcprops 118B
all-wcprops 115B
all-wcprops 115B
all-wcprops 111B
all-wcprops 107B
all-wcprops 93B
scielab.asv 6KB
SCIELAB_FR.asv 4KB
WTransform.asv 3KB
hats.bmp 1.13MB
hats_J2K.bmp 1.13MB
hats_JPEG.bmp 1.13MB
hats.bmp 1.13MB
hats_J2K.bmp 1.13MB
hats_JPEG.bmp 1.13MB
lena.bmp 257KB
lena.bmp 65KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
AbelZ_01
- 粉丝: 895
- 资源: 5441
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功