Super-resolution image reconstruction using the generalized isotropic multi-level logistic model

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 934-938

  Martins, Ana L D ^a   Homem, Murillo R P ^a   Mascarenhas, Nelson D A ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

Iterated conditional modes; Markov random field; Maximum a posteriori probability; Super resolution image reconstruction

Indexed keywords

ACQUISITION DEVICE; CONDITIONAL PROBABILITIES; HIGH RESOLUTION; HIGH RESOLUTION IMAGE; HIGH SPATIAL RESOLUTION IMAGES; IMAGE PROCESSING TECHNIQUE; ITERATED CONDITIONAL MODES; MARKOV RANDOM FIELDS; MAXIMUM A POSTERIORI PROBABILITIES; MULTI-LEVEL LOGISTICS; NORMALIZED MEAN SQUARE ERROR; PIXEL SIMILARITIES; REAL SITUATION; SUPER RESOLUTION; SUPER-RESOLUTION IMAGE RECONSTRUCTION; SUPER-RESOLUTION RECONSTRUCTION; VIDEO FRAME; VIDEO SURVEILLANCE; VISUAL EVALUATION;

COMPUTER SCIENCE; HIDDEN MARKOV MODELS; OPTICAL RESOLVING POWER; PROBABILITY; REPAIR; SECURITY SYSTEMS;

IMAGE RECONSTRUCTION;

EID: 72949103682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529484     Document Type: Conference Paper

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