A psychovisual quality metric in free-energy principle

IEEE Transactions on Image Processing

Volumn 21, Issue 1, 2012, Pages 41-52

  Zhai, Guangtao ^a,b   Wu, Xiaolin ^a   Yang, Xiaokang ^b   Lin, Weisi ^c   Zhang, Wenjun ^b  

^a MCMASTER UNIVERSITY   (Canada)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Brain theory; free energy principle; image modeling; image quality assessment

Indexed keywords

BRAIN THEORY; DISTORTION METRICS; FREE-ENERGY PRINCIPLE; GENERATIVE MODEL; IMAGE MODELING; IMAGE PROCESSING ALGORITHM; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY METRICS; IMAGE SIGNAL; INFERENCE PROCESS; NO REFERENCES; PERCEPTUAL QUALITY; QUALITY DEGRADATION; QUALITY METRICES; REDUCED REFERENCE; REFERENCE IMAGE; SYSTEMATIC DEVIATION; UPPER BOUND; VISUAL QUALITIES; VISUAL SENSORY;

FREE ENERGY;

IMAGE QUALITY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMIMETICS; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ENERGY TRANSFER; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VISION;

ALGORITHMS; BIOMIMETICS; BRAIN; COMPUTER SIMULATION; ENERGY TRANSFER; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION, PSYCHOLOGICAL; VISUAL PERCEPTION;

EID: 84255187566     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2161092     Document Type: Article

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