HANDLING BLUR (Tutorial)

0467530 - ÚTIA 2017 RIV MX eng A - Abstract
Flusser, Jan - Šroubek, Filip - Zitová, Barbara
HANDLING BLUR (Tutorial).
Proceedings of the 23rd International Conference on Pattern Recognition. Cancun: IAPR, 2016.
[International Conference on Pattern Recognition 2016 /23./. 04.12.2016-08.12.2016, Cancun]
R&D Projects: GA ČR GA15-16928S
Institutional support: RVO:67985556
Keywords : Blur * image restoration * image analysis
Subject RIV: JD - Computer Applications, Robotics
http://library.utia.cas.cz/separaty/2016/ZOI/flusser-0467530.pdf

Blur is an inevitable unwanted phenomenon, which is present in all digital images. It results in smoothing high-frequency details, which makes the image analysis difficult. Heavy blur may degrade the image so seriously, that neither automatic analysis nor visual interpretation of the content are possible. If we did not have proper tools for processing and analyzing blurred images, many unique images would become useless. Two major approaches to handling blurred images exist. They are more complementary rather than concurrent; each of them is appropriate for different tasks and employs different mathematical methods and algorithms.
Permanent Link: http://hdl.handle.net/11104/0265624