How well do filter-based MRFs model natural images?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7476 LNCS, Issue , 2012, Pages 62-72

  Gao, Qi ^a   Roth, Stefan ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DE-NOISING; DIRAC-DELTA; FILTER-BASED; HIGH-ORDER; IMAGE MODELS; IMAGE PROPERTIES; LEARNING SCHEMES; MARKOV RANDOM FIELD; MAXIMUM ENTROPY; NATURAL IMAGE STATISTICS; NATURAL IMAGES; POTENTIAL FUNCTION; SCENE STATISTICS; STATISTICAL PROPERTIES;

DELTA FUNCTIONS; PATTERN RECOGNITION;

DISCRETE COSINE TRANSFORMS;

EID: 84865810646     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32717-9_7     Document Type: Conference Paper

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