A new psychovisual paradigm for image quality assessment: From differentiating distortion types to discriminating quality conditions

Signal, Image and Video Processing

Volumn 7, Issue 3, 2013, Pages 423-436

  Gu, Ke ^a,b   Zhai, Guangtao ^a,b   Yang, Xiaokang ^a,b   Zhang, Wenjun ^a,b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b Shanghai Key Laboratory of Digital Media Processing and Transmission   (China)

Author keywords

Different perception (DIP) mechanism; Free energy; Human psychovisual perception; Image quality assessment (IQA); Image quality classification

Indexed keywords

FORECASTING; FREE ENERGY; IMAGE CLASSIFICATION;

COMPARATIVE STUDIES; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY ASSESSMENT (IQA); IMAGE QUALITY METRICS; PERCEPTUAL IMAGE QUALITY; PREDICTION ACCURACY; PSYCHO-VISUAL PERCEPTIONS; QUALITY CLASSIFICATION;

IMAGE QUALITY;

EID: 84876083585     PISSN: 18631703     EISSN: 18631711     Source Type: Journal    
DOI: 10.1007/s11760-013-0445-2     Document Type: Article

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