Image comparison by compound disjoint information with applications to perceptual visual quality assessment, image registration and tracking

International Journal of Computer Vision

Volumn 88, Issue 3, 2010, Pages 461-488

  Sun, Zhaohui ^a   Hoogs, Anthony ^b  

^a GE GLOBAL RESEARCH   (United States)

^b KITWARE INC   (United States)

Author keywords

Disjoint information; Image quality assessment; Image registration; Mutual information; Similarity measures; Video tracking

Indexed keywords

CONTENT REPRESENTATION; DENSITY APPROXIMATIONS; DIGITAL IMAGE; DISJOINT INFORMATION; HISTOGRAMMING; IMAGE COMPARISON; IMAGE DISTRIBUTIONS; IMAGE QUALITY ASSESSMENT; INFORMATION REDUNDANCIES; JOINT ENTROPY; MATCHING FUNCTIONS; MINIMALITY; MUTUAL INFORMATIONS; PARZEN WINDOWS; PERCEPTUAL IMAGE QUALITY; PERCEPTUAL VISUAL QUALITY; SELF-SIMILARITIES; STATISTICAL DEPENDENCE; TRIANGLE INEQUALITY; UPPER BOUND APPROXIMATION; VIDEO TRACKING; VISUAL FEATURE;

COMPUTER GRAPHICS; CONCENTRATION (PROCESS); IMAGE QUALITY; IMAGE REGISTRATION; RANDOM PROCESSES;

RANDOM VARIABLES;

EID: 77951254420     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0316-z     Document Type: Article

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