Robust Approach to Image Denoising
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F02%3A00006993" target="_blank" >RIV/60461373:22340/02:00006993 - 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
Robust Approach to Image Denoising
Original language description
Both Huber and Hampel approaches can be used for M-estimate generation. The resulting robust statistics was used for 2D image denoising. The article is oriented to MR image enhancement in case of the mixture of gaussian and nongaussian noise. The real biomedical application was realized in the Matlab system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
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
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sborník příspěvků 10. ročníku konference MATLAB 2002
ISBN
165;175
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
165-175
Publisher name
VŠCHT Praha
Place of publication
Praha
Event location
Praha
Event date
Nov 7, 2002
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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