Title
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment
Abstract
Full-reference image quality assessment algorithms usually perform comparisons of features extracted from square patches. These patches do not have any visual meanings. On the contrary, a superpixel is a set of image pixels that share similar visual characteristics and is thus perceptually meaningful. Features from superpixels may improve the performance of image quality assessment. Inspired by th...
Year
DOI
Venue
2018
10.1109/TIP.2018.2837341
IEEE Transactions on Image Processing
Keywords
Field
DocType
Feature extraction,Image color analysis,Image quality,Visualization,Indexes,Image segmentation,Distortion measurement
Computer vision,Quality Score,Pattern recognition,Visualization,Chrominance,Image quality,Image segmentation,Feature extraction,Pixel,Artificial intelligence,Luminance,Mathematics
Journal
Volume
Issue
ISSN
27
9
1057-7149
Citations 
PageRank 
References 
8
0.44
10
Authors
4
Name
Order
Citations
PageRank
Sun Wen1301.81
QM246472.05
Jing-Hao Xue339346.48
Fei Zhou4298.98