Image denoising based on a mixture of bivariate Laplacian models in complex wavelet domain

2006 IEEE 8th Workshop on Multimedia Signal Processing, MMSP 2006

Volumn , Issue , 2006, Pages 425-428

  Rabbani, Hossein ^a   Vafadust, Mansur ^a   Selesnick, Ivan ^b   Gazor, Saeed ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b POLYTECHNIC UNIVERSITY   (United States)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Bivariate pdf; Complex wavelet transform; MAP estimator; Mixture model

Indexed keywords

COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; WAVELET TRANSFORMS;

BIVARIATE LAPLACIAN MODELS; IMAGE DENOISING; MAXIMUM A POSTERIORI (MAP); WAVELET COEFFICIENTS;

IMAGE ANALYSIS;

EID: 34250757013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2006.285344     Document Type: Conference Paper

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