资源简介
历年图像质量评价(iqa)论文及代码资料大全(无参考型)
2002年论文 NO-REFERENCE PERCEPTUAL QUALITY ASSESSMENT OF JPEG COMPRESSED IMAGES 附代码
2005年论文 Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Statistic Model 附代码
2005年论文 No-Reference Quality Assessment Using Natural Scene Statistics: JPEG2000 附代码
2010年论文 A Two-Step Framework for Constructing Blind Image Quality Indices 附代码
2010年论文 A DCT Statistics-Based Blind Image Quality Index 附代码
2011年论文 Blind Image Quality Assessment Using a General Regression Neural Network 附代码
2011年论文 Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality 附代码(牛文)
2012年论文 RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment 附代码
2012年论文 Blind Image Quality Assessment Without Human Training Using Latent Quality Factors 附代码
2012年论文 Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain 附代码
2012年论文 MAKING IMAGE QUALITY ASSESSMENT ROBUST 附代码
2012年论文 No-Reference Image Quality Assessment in the Spatial Domain 附代码
2013年论文 Objective Quality Assessment of Tone-Mapped Images 附代码
2013年论文 Making a “Completely Blind” Image Quality Analyzer 附代
码
2013年论文 Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing 附代码
代码片段和文件信息
% ========================================================================
% SSIM demo Version 1.0
% Copyright(c) 2013 Jincao Yin
% All Rights Reserved.
%
% ----------------------------------------------------------------------
% Permission to use copy or modify this software and its documentation
% for educational and research purposes only and without fee is hereby
% granted provided that this copyright notice and the original authors‘
% names appear on all copies and supporting documentation. This program
% shall not be used rewritten or adapted as the basis of a commercial
% software or hardware product without first obtaining permission of the
% authors. The authors make no representations about the suitability of
% this software for any purpose. It is provided “as is“ without express
% or implied warranty.
%----------------------------------------------------------------------
%
% This is an implementation of the algorithm for calculating the
% Structural SIMilarity (SSIM) index between two images
%
% Please refer to the following paper and the website with suggested usage
%
% Z. Wang A. C. Bovik H. R. Sheikh and E. P. Simoncelli “Image
% quality assessment: From error visibility to structural similarity“
% IEEE Transactios on Image Processing vol. 13 no. 4 pp. 600-612
% Apr. 2004.
%
% http://www.ece.uwaterloo.ca/~z70wang/research/ssim/
%
% Note: This program is different from ssim_index.m where no automatic
% downsampling is performed. (downsampling was done in the above paper
% and was described as suggested usage in the above website.)
%
% Kindly report any suggestions or corrections to zhouwang@ieee.org
%========================================================================
clear all
clc
pub_path = ‘../../database/‘;
tid2008_db = ‘tid2008/‘;
IVC_DB = ‘IVC_SubQualityDB/‘;
a57_db = ‘a57_db/images/‘;
CSIQ_DB = ‘CSIQ_DB/‘;
LIVE_db = ‘LIVE_db/‘;
toyama_db = ‘toyama_db/‘;
k=menu(‘please choose a database‘ ‘tid2008_db‘ ‘IVC_DB‘ ‘a57_db‘ ‘CSIQ_DB‘ ‘LIVE_db‘ ‘toyama_db‘‘自定义‘);
switch k
case 1
num = input(‘pelease choose a photo num range from 1 to 25:‘);
while(num >25 || num < 1)
disp(‘photo num can not greater than 25 or less than 1input again‘);
num = input(‘pelease choose a photo num range from 1 to 25:‘);
end
if(num > 9)
img1_path = [pub_path tid2008_db ‘reference_images/I‘ int2str(num) ‘.BMP‘];
img2_path = [pub_path tid2008_db ‘distorted_images/I‘ int2str(num) ‘_01_1.bmp‘];
else
img1_path = [pub_path tid2008_db ‘reference_images/I0‘ int2str(num) ‘.BMP‘];
img2_path = [pub_path tid2008_db ‘distorted_images/I0‘ int2str(num) ‘_01_1.bmp‘];
end
case 2
img1_path = [pub_path tid2008_db ‘reference_images/I01.BMP‘];
img2_path = [pub_path tid2008_db ‘distorted_images/I01_01_4.bmp‘];
case 3
img1_path
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 936166 2013-10-09 16:22 05_1_RR_iqa\ei05.pdf
文件 59 2013-10-09 16:23 05_1_RR_iqa\readme.txt
文件 81 2004-03-04 12:37 05_1_RR_iqa\RRIQA\common_to_both_sides\ggd.m
文件 188 2004-03-04 12:37 05_1_RR_iqa\RRIQA\common_to_both_sides\ggd_error.m
文件 126 2004-03-04 12:37 05_1_RR_iqa\RRIQA\common_to_both_sides\ggd_fit.m
文件 346 2004-03-04 12:37 05_1_RR_iqa\RRIQA\common_to_both_sides\ggd_hist.m
文件 204 2004-03-21 11:56 05_1_RR_iqa\RRIQA\common_to_both_sides\kld.m
文件 398272 2004-12-07 16:58 05_1_RR_iqa\RRIQA\im_distorted.tif
文件 391760 2004-03-25 13:00 05_1_RR_iqa\RRIQA\im_original.tif
文件 1243 2004-12-20 15:30 05_1_RR_iqa\RRIQA\ReadMe.txt
文件 1297 2004-03-26 13:07 05_1_RR_iqa\RRIQA\receiver_side\feature_dequantization.m
文件 218 2004-12-07 17:25 05_1_RR_iqa\RRIQA\receiver_side\quality_analysis.m
文件 160 2004-12-07 17:35 05_1_RR_iqa\RRIQA\receiver_side\receiver_distortion_measure.m
文件 1552 2004-03-26 16:14 05_1_RR_iqa\RRIQA\receiver_side\rr_feature_calculation.m
文件 3626 2004-12-07 17:33 05_1_RR_iqa\RRIQA\sender_side\feature_calculation.m
文件 1181 2004-03-26 11:51 05_1_RR_iqa\RRIQA\sender_side\feature_quantization.m
文件 148 2004-12-07 17:35 05_1_RR_iqa\RRIQA\sender_side\sender_feature_extraction.m
文件 824 2004-12-07 18:35 05_1_RR_iqa\RRIQA\test.m
文件 5055 2005-01-30 20:32 05_11_NR_softwarerelease\hist2d.c
文件 24576 2003-05-20 16:32 05_11_NR_softwarerelease\hist2d.dll
文件 2134 2005-01-30 20:31 05_11_NR_softwarerelease\hist2d.m_rename
文件 3494 2004-09-21 21:46 05_11_NR_softwarerelease\image_wtransform.m
文件 3809 2005-01-30 20:32 05_11_NR_softwarerelease\jointhist.m
文件 5084 2005-01-30 20:31 05_11_NR_softwarerelease\jp2knr_quality.m
文件 677483 2013-10-09 11:06 05_11_NR_softwarerelease\No-Reference Quality Assessment Using.pdf
文件 3091 2005-01-30 20:41 05_11_NR_softwarerelease\readme.txt
文件 560 2004-06-11 16:43 05_11_NR_softwarerelease\train_all.mat
文件 310212 2013-10-14 14:05 10_5_NR_BIQI_release\A Two-Step fr
文件 300280 2013-10-21 18:15 10_5_NR_BIQI_release\BIQI.docx
文件 7526 2013-11-29 14:14 10_5_NR_BIQI_release\biqi.m
............此处省略947个文件信息
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