Unsupervised-multi-metric-fusion-for-FR-IQA
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Unsupervised muti-metric fusion for Full-Reference (FR) Image Quality Assessment (IQA)
adjustScore.m and RRF.m implements the unsupervised multi-metric fusion method described in the following paper.
Peng Ye, Jayant Kumar and David Doermann, "Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores", CVPR2014.
% Examples:
load('PATH_TO_YOUR_FR_MEASURE_FILE','gmsd','vif','fsim','fsimc','wssim');
scores = [vif, fsim, fsimc, wssim, -gmsd]; % the higher the better
rrf = RRF(scores, 60);
s = adjustScore(1-gmsd, -rrf, 4);
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图像质量评价无参考方法,matlab源码主程序。CVPR会议论文:Beyond Human Opinion Scores_ Blind Image Quality Assessment based on Synthetic Scores和 Active Sampling for Subjective Image Quality Assessment
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无参考评价源码.rar (19个子文件)
无参考评价源码
BIQA
Beyond Human Opinion Scores_ Blind Image Quality Assessment based on Synthetic Scores.pdf 369KB
Unsupervised-multi-metric-fusion-for-FR-IQA-master
RRF.m 617B
README.md 649B
adjustScore.m 1KB
Active Sampling for Subjective Image Quality Assessment.pdf 457KB
CVPR2013
Real-time No-Reference Image Quality Assessment based on Filter Learning.pdf 742KB
CORNIA_release_v0
CORNIA_release
CORNIA_Fv.m 2KB
CORNIA.m 3KB
svmpredict.mexa64 74KB
main.m 395B
CORNIA_train.m 1KB
LIVE_soft_svm_model.mat 155.9MB
img215.bmp 1.13MB
libsvmread.mexa64 11KB
libsvmwrite.mexa64 9KB
CSIQ_codebook_BS7.mat 7.04MB
README.txt 4KB
CSIQ_whitening_param.mat 17KB
svmtrain.mexa64 75KB
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