Wavelet-based image denoising with the normal inverse Gaussian prior and linear MMSE estimator

IET Image Processing

Volumn 2, Issue 4, 2008, Pages 203-217

  Bhuiyan, M I H ^a   Ahmad, M O ^a   Swamy, M N S ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CHLORINE COMPOUNDS; ERROR ANALYSIS; ESTIMATION; FOOD ADDITIVES; GAUSSIAN NOISE (ELECTRONIC); IMAGE ENHANCEMENT; IMAGE PROCESSING; MEAN SQUARE ERROR; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO; TRELLIS CODES; WHITE NOISE;

ADDITIVE WHITE GAUSSIAN NOISE; BAYESIAN; BAYESIAN ESTIMATES; COMPUTATIONALLY EFFICIENT; DE-NOISING TECHNIQUES; GAUSS-HERMITE QUADRATURE; GAUSSIAN; IMAGE DE-NOISING; INVERSE GAUSSIAN; MAXIMUM-LIKELIHOOD; MINIMUM MEAN-SQUARED-ERROR; MMSE ESTIMATORS; NEIGHBOURHOOD; PEAK SIGNAL-TO-NOISE RATIO; REDUCING NOISE; SIMULATED NOISE; SPATIALLY ADAPTIVE; STATE-OF-THE-ART METHODS; SYMMETRIC NORMAL INVERSE GAUSSIAN DISTRIBUTION; VISUAL QUALITIES; WAVELET COEFFICIENTS;

NORMAL DISTRIBUTION;

EID: 50249126551     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr:20070035     Document Type: Article

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