Notes on performance of bidiagonalization-based estimator in image deblurring

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10331357" target="_blank" >RIV/00216208:11320/16:10331357 - isvavai.cz</a>
Result on the web
<a href="http://www.iam.fmph.uniba.sk/amuc/ojs/index.php/algoritmy/article/view/422/338" target="_blank" >http://www.iam.fmph.uniba.sk/amuc/ojs/index.php/algoritmy/article/view/422/338</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Notes on performance of bidiagonalization-based estimator in image deblurring
Original language description
Image deblurring represents one of important areas of image processing. When information about the amount of noise in the given blurred image is available, it can significantly improve the performance of image deblurring algorithms. The paper [11] introduced an iterative method for estimating the noise level in linear algebraic ill-posed problems contaminated by white noise. Here we study applicability of this approach to image deblurring problems with various types of blurring operators. White as well as data-correlated noise of various sizes is considered.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Conference Algoritmy 2016
ISBN
978-80-227-4544-4
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
333-342
Publisher name
Publishing House of Slovak University of Technology in Bratislava
Place of publication
Bratislava
Event location
Vysoké Tatry - Podbanské
Event date
Mar 14, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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