Institute of Information Theory and Automation

Publication details

HANDLING BLUR (Tutorial)

Abstract

Flusser Jan, Šroubek Filip, Zitová Barbara


serial: Proceedings of the 23rd International Conference on Pattern Recognition

action: International Conference on Pattern Recognition 2016 /23./, (Cancun, MX, 20161204)

project(s): GA15-16928S, GA ČR

keywords: Blur, image restoration, image analysis

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abstract (eng):

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.

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation