Total variation super resolution using a variational approach

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 641-644

  Babacan, S Derin ^a   Molina, Rafael ^b   Katsaggelos, Aggelos K ^a  

^a Northwestern University   (United States)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Bayesian methods; Parameter estimation; Super resolution; Total variation; Variational methods

Indexed keywords

BAYESIAN METHODS; HIERARCHICAL BAYESIAN MODELS; HIGH RESOLUTION IMAGE; LATENT VARIABLE; LOW RESOLUTION; MODEL PARAMETERS; NOVEL ALGORITHM; PARAMETER-TUNING; POSTERIOR DISTRIBUTIONS; SUPER RESOLUTION; SUPER RESOLUTION ALGORITHMS; TOTAL VARIATION; VARIATIONAL APPROACHES; VARIATIONAL INFERENCE; VARIATIONAL METHODS;

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; INFERENCE ENGINES; METAL ANALYSIS;

PARAMETER ESTIMATION;

EID: 70049083296     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711836     Document Type: Conference Paper

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