Blind image quality assessment using a general regression neural network

IEEE Transactions on Neural Networks

Volumn 22, Issue 5, 2011, Pages 793-799

  Li, Chaofeng ^a   Bovik, Alan Conrad ^b   Wu, Xiaojun ^a  

^a JIANGNAN UNIVERSITY   (China)

^b The University of Texas at Austin   (United States)

Author keywords

Entropy; general regression neural network; gradient; image quality assessment; no reference; phase congruency

Indexed keywords

GENERAL REGRESSION NEURAL NETWORK; GRADIENT; IMAGE QUALITY ASSESSMENT; NO REFERENCES; PHASE CONGRUENCY;

ALGORITHMS; ENTROPY; IMAGE QUALITY; RATING; REGRESSION ANALYSIS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER PROGRAM; COMPUTER SIMULATION; ENTROPY; HUMAN; IMAGE PROCESSING; METHODOLOGY; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ENTROPY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SOFTWARE DESIGN; VIDEO RECORDING;

EID: 79955817749     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2120620     Document Type: Article

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