Title
Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images.
Abstract
The blind quality evaluation of screen content images (SCIs) and natural scene images (NSIs) has become an important, yet very challenging issue. In this paper, we present an effective blind quality evaluation technique for SCIs and NSIs based on a dictionary of learned local and global quality features. First, a local dictionary is constructed using local normalized image patches and conventional...
Year
DOI
Venue
2018
10.1109/TIP.2018.2794207
IEEE Transactions on Image Processing
Keywords
Field
DocType
Measurement,Dictionaries,Feature extraction,Visualization,Encoding,Image coding,Distortion
Kernel (linear algebra),Histogram,Computer vision,Fidelity,Quality Score,Pattern recognition,Pooling,Support vector machine,Artificial intelligence,Cluster analysis,Feature learning,Mathematics
Journal
Volume
Issue
ISSN
27
5
1057-7149
Citations 
PageRank 
References 
9
0.52
31
Authors
6
Name
Order
Citations
PageRank
Wujie Zhou1393.98
Lu Yu244455.90
Yang Zhou3392.92
Weiwei Qiu4553.90
Mingwei Wu513819.05
Ting Luo6415.29