Locally adaptive multiscale Bayesian method for image denoising based on bivariate normal inverse gaussian distributions

International Journal of Wavelets, Multiresolution and Information Processing

Volumn 6, Issue 4, 2008, Pages 653-664

  Forouzanfar, Mohamad ^a   Moghaddam, Hamid Abrishami ^a   Ghadimi, Sona ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Bivariate Bayesian estimator; Bivariate normal inverse Gaussian distribution; Complex wavelet transform; Image denoising

Indexed keywords

BAYESIAN NETWORKS; CHLORINE COMPOUNDS; ERROR ANALYSIS; ESTIMATION; IMAGE PROCESSING; IMAGE SEGMENTATION; NORMAL DISTRIBUTION; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; TRELLIS CODES;

APPLICATIONS.; BAYESIAN ESTIMATORS; BAYESIAN METHODS; BAYESIAN TECHNIQUES; BIVARIATE BAYESIAN ESTIMATOR; BIVARIATE NORMAL; BIVARIATE NORMAL INVERSE GAUSSIAN DISTRIBUTION; COMPLEX WAVELET DOMAIN; COMPLEX WAVELET TRANSFORM; DE-NOISING; GENERALIZED GAUSSIAN; HEAVY-TAILED; IMAGE DENOISING; INVERSE GAUSSIAN; MINIMUM MEAN SQUARE ERROR; MODEL PARAMETERS; MULTI SCALING; ORIGINAL IMAGES; PEAK SIGNAL-TO-NOISE RATIO; STATE-OF-THE-ART PERFORMANCE; STATISTICAL MODELLING; WAVELET COEFFICIENTS;

WAVELET TRANSFORMS;

EID: 48349112082     PISSN: 02196913     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219691308002562     Document Type: Article

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