Title
Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment.
Abstract
State-of-the-art algorithms for blind image quality assessment (BIQA) typically have two categories. The first category approaches extract natural scene statistics (NSS) as features based on the statistical regularity of natural images. The second category approaches extract features by feature encoding with respect to a learned codebook. However, several problems need to be addressed in existing ...
Year
DOI
Venue
2018
10.1109/TMM.2017.2763321
IEEE Transactions on Multimedia
Keywords
Field
DocType
Feature extraction,Distortion,Encoding,Image reconstruction,Measurement,Image quality,Visualization
Iterative reconstruction,Pattern recognition,Computer science,Semantic gap,Image quality,Feature extraction,Unsupervised learning,Artificial intelligence,Discriminative model,Encoding (memory),Codebook
Journal
Volume
Issue
ISSN
20
8
1520-9210
Citations 
PageRank 
References 
14
0.44
0
Authors
6
Name
Order
Citations
PageRank
Qiuping Jiang114822.19
Feng Shao260372.75
Weisi Lin35366280.14
Ke Gu4132177.21
Gangyi Jiang5865105.98
Huifang Sun622821.96