Image denoising by averaging of piecewise constant simulations of image partitions

IEEE Transactions on Image Processing

Volumn 16, Issue 2, 2007, Pages 523-533

  Mignotte, Max ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Image denoising; Markov chain Monte Carlo (MCMC) simulations; Markovian segmentation

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SEGMENTATION; MARKOV PROCESSES; MONTE CARLO METHODS; WAVELET ANALYSIS;

IMAGE DENOISING; MARKOV CHAIN MONTE-CARLO SIMULATIONS; WAVELET-BASED DENOISING METHOD; WHITE GAUSSIAN NOISE;

IMAGE RECONSTRUCTION;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PROBABILITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 33847725901     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.887729     Document Type: Article

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