Notes on Performance of Bidiagonalization-Based Noise Level Estimator in Image Deblurring
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00458347" target="_blank" >RIV/67985807:_____/16:00458347 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24510/16:00003943
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Notes on Performance of Bidiagonalization-Based Noise Level 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 signifficantly 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
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA13-06684S" target="_blank" >GA13-06684S: Iterative Methods in Computational Mathematics: Analysis, Preconditioning, and Applications</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Algoritmy 2016
ISBN
978-80-227-4544-4
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
333-342
Publisher name
Slovak University of Technology
Place of publication
Bratislava
Event location
Vysoké Tatry - Podbanské
Event date
Mar 13, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391175600034