文件名称:(SFF)
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提取稀疏特征前模拟了人眼的特性，对降维后的图像块先进行了whitening操作，再使用ICA得到字典，利用该字典的广义逆矩阵提取图像块的稀疏特征，然后挑选一定的块进行求取特征相似度和亮度亮度相似度，最后结合这两个相似度得到最终的评价指标。-sparse feature extraction
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下载文件列表
Sparse Feature Fidelity (SFF) for Image Quality Assessment
..........................................................\CSIQ.m
..........................................................\CSIQ.mat
..........................................................\Experimental_Results
..........................................................\....................\Figures_of_Scatter_Plots
..........................................................\....................\........................\sff_csiq.fig
..........................................................\....................\........................\sff_csiq.tif
..........................................................\....................\........................\sff_ivc.fig
..........................................................\....................\........................\sff_ivc.tif
..........................................................\....................\........................\sff_live.fig
..........................................................\....................\........................\sff_live.tif
..........................................................\....................\........................\sff_tid2008.fig
..........................................................\....................\........................\sff_tid2008.tif
..........................................................\....................\........................\sff_tid2013.fig
..........................................................\....................\........................\sff_tid2013.tif
..........................................................\....................\........................\sff_toy.fig
..........................................................\....................\........................\sff_toy.tif
..........................................................\....................\README.txt
..........................................................\....................\SFF_on_6DB.mat
..........................................................\LIVE.m
..........................................................\LIVE.mat
..........................................................\README.txt
..........................................................\SFF.m
..........................................................\Sparse_Feature_Fidelity_SFF_TIP_2013.pdf
..........................................................\TID2008.m
..........................................................\TID2008.mat
..........................................................\TID2013.m
..........................................................\TID2013.mat
..........................................................\Training
..........................................................\........\TrainW.m
..........................................................\........\data1
..........................................................\........\.....\1.jpg
..........................................................\........\.....\2.jpg
..........................................................\........\.....\3.jpg
..........................................................\........\.....\4.jpg
..........................................................\........\.....\5.jpg
..........................................................\........\.....\6.jpg
..........................................................\........\.....\7.jpg
..........................................................\........\.....\8.jpg
..........................................................\........\.....\9.jpg
..........................................................\........\data2
..........................................................\........\.....\1.jpg
..........................................................\........\.....\2.jpg
..........................................................\........\.....\3.jpg
..........................................................\........\.....\4.jpg
..........................................................\........\.....\5.jpg
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