PSF accuracy measure for evaluation of blur estimation algorithms

0450662 - ÚTIA 2016 RIV CA eng C - Conference Paper (international conference)
Kotera, Jan - Zitová, Barbara - Šroubek, Filip
PSF accuracy measure for evaluation of blur estimation algorithms.
Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015. Piscataway: IEEE, 2015, s. 2080-2084. ISBN 978-1-4799-8339-1. ISSN 1522-4880.
[IEEE International Conference on Image Processing 2015, ICIP 2015. Québec City (CA), 27.09.2015-30.09.2015]
R&D Projects: GA ČR GA13-29225S; GA MŠMT 7H14004
Grant - others:GA UK(CZ) 938213/2013
Institutional support: RVO:67985556
Keywords : image deconvolution * blur estimation * PSF error * PSF comparison * image restoration
Subject RIV: JD - Computer Applications, Robotics
http://library.utia.cas.cz/separaty/2015/ZOI/kotera-0450662.pdf

Given the large amount of blur estimation and blind deconvolution methods just in the last decade, there is an increasing need to compare the performance of a particular method with others. Unlike in other fields in image processing, there are very few well-established benchmark databases of test data and, more importantly, no standard way of performance evaluation. In this paper, we focus on the latter. We propose a new error measure for the blur kernel – a method for comparison of the blur estimate with the ground truth – which correctly reflects how inaccuracies in the blur estimation affect the subsequent image restoration, without the necessity to perform the actual deconvolution.
Permanent Link: http://hdl.handle.net/11104/0251951