Monotonic regression: A new way for correlating subjective and objective ratings in image quality research

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 2309-2313

  Han, Yu ^a,b   Cai, Yunze ^a   Cao, Yin ^a   Xu, Xiaoming ^a,c  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b JIANGSU AUTOMATION RESEARCH INSTITUTE   (China)

^c UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

Author keywords

Image quality assessment; image quality metric (IQM); metric performance; monotonic regression (MR)

Indexed keywords

EFFECTIVE TOOL; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY METRICS; LOGISTIC REGRESSIONS; METRIC PERFORMANCE; MONOTONIC REGRESSIONS; OPTIMALITY; PERFORMANCE ASSESSMENT; POLYNOMIAL REGRESSION;

LOGISTICS; REGRESSION ANALYSIS;

IMAGE QUALITY;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LETTER; METHODOLOGY; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICS AS TOPIC; SUBTRACTION TECHNIQUE;

EID: 84859073463     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2170697     Document Type: Article

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