No-reference image quality assessment based on localized gradient statistics: Application to JPEG and JPEG2000

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7527, Issue , 2010, Pages

  Liu, Hantao ^a   Redi, Judith ^b   Alers, Hani ^a   Zunino, Rodolfo ^b   Heynderickx, Ingrid ^a,c  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF GENOA   (Italy)

^c PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Image quality assessment; JPEG; JPEG2000; Neural network; Objective metric

Indexed keywords

ADAPTIVE FRAMEWORK; ADAPTIVE NEURAL NETWORKS; BLACK BOXES; COMPRESSION METHODS; EXPLICIT MODELING; GRADIENT BASED; HUMAN VISUAL SYSTEM; IMAGE FEATURES; IMAGE QUALITY ASSESSMENT; JPEG; JPEG 2000; LOWER COMPLEXITY; NO REFERENCES; PERCEIVED QUALITY; PREDICTION ACCURACY; QUALITY ESTIMATION; QUALITY PREDICTION; SUBJECTIVE QUALITY;

DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE QUALITY; QUALITY CONTROL;

NEURAL NETWORKS;

EID: 77949467777     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.838982     Document Type: Conference Paper

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