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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148558
Doc. No : ET20350
Main Entry : Fei Shi
Title Proper : A Class of Multivariate Non-Gaussian Probability Models and the Application to Wavelet-based Image Processing
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This thesis mainly focuses on the development of a class of new non-Gaussian proba-bility models for wavelet coefficients of natural images and the corresponding Bayesiandenoising algorithm. A multivariate quasi-Laplacian model is first introduced as ageneralization of the single-variable Laplacian distribution to multi-dimensions. Amixture of this model is used as the wavelet coefficient prior for Bayesian wavelet-based image denoising. The mixture.
Subject : Electericl tess
: برق
electronic file name : TL43477.pdf
Title and statement of responsibility and : A Class of Multivariate Non-Gaussian Probability Models and the Application to Wavelet-based Image Processing [Thesis]
 
 
 
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