Wavelet Thresholding Techniques in MRI Domain
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU86097" target="_blank" >RIV/00216305:26220/10:PU86097 - 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
Wavelet Thresholding Techniques in MRI Domain
Original language description
This paper deals with MR image de-noising by using the wavelet analysis focusing on the wavelet thresholding techniques and the threshold estimation. Hard, soft, semi-soft and non-negative garrote thresholding techniques are described and applied to testimages with two different threshold estimators; one uses the universal threshold and the second is derived from the Bayesian risk minimization. The results are compared according to three parameters: SNR, intensity contrast and intensity gradient.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ME10123" target="_blank" >ME10123: The Research of Algorithms for Processing of Digital Images and Image Sequences</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the First International Conference on Biosciences BioSciencesWorld 2010
ISBN
978-0-7695-3968-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE Computer Society Conference Publishing Services (
Place of publication
Neuveden
Event location
Cancun
Event date
Mar 7, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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