Generalized Cross Validation with Bayes Approach for Image Denoising
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU41449" target="_blank" >RIV/00216305:26220/04:PU41449 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Generalized Cross Validation with Bayes Approach for Image Denoising
Original language description
This paper describes a new method for suppression of noise in images based on wavelet transform. Classic de-noising methods based on the wavelet transform are based on binary decision. Wavelet coefficients below threshold are replaced by zero, and kept (hard-threshold) or shrinked (soft-threshold) with absolute value above the threshold. The proposed method relies on two criteria. The first criterion is based on estimation of optimal threshold without knowledge exact data using Generalized Cross Validattion (GCV) technique. The second criterion employes Bayes approach to improve noise suppression in images.
Czech name
Generalized Cross Validation with Bayes Approach for Image Denoising
Czech description
This paper describes a new method for suppression of noise in images based on wavelet transform. Classic de-noising methods based on the wavelet transform are based on binary decision. Wavelet coefficients below threshold are replaced by zero, and kept (hard-threshold) or shrinked (soft-threshold) with absolute value above the threshold. The proposed method relies on two criteria. The first criterion is based on estimation of optimal threshold without knowledge exact data using Generalized Cross Validattion (GCV) technique. The second criterion employes Bayes approach to improve noise suppression in images.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th International Student Conference on Electrical Engineering
ISBN
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ISSN
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e-ISSN
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Number of pages
6
Pages from-to
20-25
Publisher name
NEUVEDEN
Place of publication
Praha
Event location
Praha
Event date
May 20, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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