Training an active random field for real-time image denoising

IEEE Transactions on Image Processing

Volumn 18, Issue 11, 2009, Pages 2451-2462

  Barbu, Adrian ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Conditional random field (CRF) training; Fields of experts; Image denoising; Markov random field (MRF) training

Indexed keywords

BAYESIAN FRAMEWORKS; COMPUTER VISION PROBLEMS; CONDITIONAL RANDOM FIELD; CONDITIONAL RANDOM FIELD (CRF) TRAINING; EXPERIMENTAL VALIDATIONS; FAST INFERENCE; FIELDS OF EXPERTS; GRADIENT DESCENT ALGORITHMS; IMAGE DENOISING; IMAGE SEQUENCE; INFERENCE ALGORITHM; INPUT IMAGE; LOSS FUNCTIONS; MARKOV RANDOM FIELD; MARKOV RANDOM FIELD (MRF) TRAINING; RANDOM FIELDS; REAL-TIME IMAGES; SINGLE CPU; TRAINING SETS;

ALGORITHMS; COMPUTER VISION; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; STRUCTURAL FRAMES;

INFERENCE ENGINES;

EID: 70350599323     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2028254     Document Type: Article

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