Bayesian image recovery for dendritic structures under low signal-to-noise conditions

IEEE Transactions on Image Processing

Volumn 18, Issue 3, 2009, Pages 471-482

  Fudenberg, Geoffrey ^a   Paninski, Liam ^a  

^a Columbia University ^*  (United States)

Author keywords

Bayes procedures; Image restoration; Monte Carlo methods

Indexed keywords

ACOUSTIC INTENSITY; BAYESIAN NETWORKS; DENDRIMERS; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; MARKOV PROCESSES; MULTIPHOTON PROCESSES; RESTORATION; SECURITY OF DATA; SIGNAL TO NOISE RATIO; UNCERTAINTY ANALYSIS;

BAYES PROCEDURES; BAYESIAN; BAYESIAN APPROACHES; BAYESIAN FRAMEWORKS; COMPUTATIONAL IMPLEMENTATIONS; DENDRITIC STRUCTURES; EXPERIMENTAL RESEARCHES; GEOMETRIC STRUCTURES; IMAGE FORMATION PROCESS; IMAGE NOISE; IMAGE RECOVERIES; IMAGE RESTORATION; LIGHT INTENSITIES; LOW INTENSITIES; LOW SIGNAL-TO-NOISE RATIOS; MARKOV CHAIN MONTE CARLO TECHNIQUES; NEURONAL STRUCTURES; POSTERIOR UNCERTAINTIES; SIGNAL TO NOISE; SMOOTH BOUNDARIES; TWO PHOTONS;

MONTE CARLO METHODS;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; DENDRITE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DENDRITES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 61349104511     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.2010212     Document Type: Article

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