Image Denoising Using Bayesian Estimator in the Wavelet Domain

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03119349" target="_blank" >RIV/68407700:21230/06:03119349 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Image Denoising Using Bayesian Estimator in the Wavelet Domain

Original language description

This work deals with noise removal from an image data based on Bayesian estimator. Statistical model of the marginal probability density function (PDF) of digital images in the wavelet domain based on generalized Laplacian is used by this estimator. Themodel parameters was trained on our image database. There has been presented powerful method for additive noise suppression. This method was also compared with other denoisng algorithm based on suitable thresholding (Donoho-Johnston algorithm) of the wavelet coefficients.

Czech name

Odstraniní 1umu z obrazu zalo3ené na Bayesovském estimátoru ve vlnkové doméni

Czech description

Není k dispozici

Type

A - Audiovisual production

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

<a href="/en/project/GA102%2F05%2F2054" target="_blank" >GA102/05/2054: Qualitative aspects of audiovisual information processing in multimedia systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

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Place of publication

Praha

Publisher/client name

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Version

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Carrier ID

neuvedeno