Improved Poisson intensity estimation: Denoising application using Poisson data

IEEE Transactions on Image Processing

Volumn 13, Issue 8, 2004, Pages 1128-1135

  Lu, H ^a   Kim, Y ^a   Anderson, John M M ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; METHOD OF MOMENTS; PARAMETER ESTIMATION; POISSON DISTRIBUTION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE;

BETA MIXTURE DENSITY FUNCTION; DENOISING APPLICATION; MINIMUM MEAN SQUARE ERROR; MULTISCALE MODEL; MULTISCALE MULTIPLICATIVE INNOVATIONS; POISSON INTENSITY ESTIMATION;

IMAGE PROCESSING;

ALGORITHM; ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; IMAGE ENHANCEMENT; METHODOLOGY; POISSON DISTRIBUTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; POISSON DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 3843059068     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2003.822606     Document Type: Article

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