Number of the records: 1
Notes on Performance of Bidiagonalization-Based Noise Level Estimator in Image Deblurring
- 1.
SYSNO ASEP 0458347 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Notes on Performance of Bidiagonalization-Based Noise Level Estimator in Image Deblurring Author(s) Hnětynková, Iveta (UIVT-O) SAI, RID, ORCID
Kubínová, Marie (UIVT-O) RID, ORCID
Plešinger, Martin (UIVT-O) RID, SAI, ORCIDSource Title Algoritmy 2016. - Bratislava : Slovak University of Technology, 2016 / Handlovičová A. ; Ševčovič D. - ISBN 978-80-227-4544-4 Pages s. 333-342 Number of pages 10 s. Publication form Print - P Action ALGORITMY 2016. Conference on Scientific Computing /20./ Event date 13.03.2016 - 18.03.2016 VEvent location Vysoké Tatry - Podbanské Country SK - Slovakia Event type WRD Language eng - English Country SK - Slovakia Keywords image deblurring ; linear ill-posed problem ; noise ; noise level estimate ; Golub-Kahan iterative bidiagonalization Subject RIV BA - General Mathematics R&D Projects GA13-06684S GA ČR - Czech Science Foundation (CSF) Institutional support UIVT-O - RVO:67985807 UT WOS 000391175600034 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2017
Number of the records: 1