Recognition of Images Degraded by Gaussian Blur

0447035 - ÚTIA 2016 RIV DE eng C - Conference Paper (international conference)
Flusser, Jan - Suk, Tomáš - Farokhi, Sajad - Höschl, Cyril
Recognition of Images Degraded by Gaussian Blur.
Computer Analysis of Images and Patterns - CAIP 2015. Vol. I. Switzerland: Springer International Publishing, 2015 - (Azzopardi, G.; Petkov, N.), s. 88-99. Lecture Notes in Computer Science, 9256. ISBN 978-3-319-23192-1. ISSN 0302-9743.
[Computer Analysis of Images and Patterns. Valletta (MT), 02.09.2015-04.09.2015]
R&D Projects: GA ČR(CZ) GA15-16928S
Institutional support: RVO:67985556
Keywords : Blurred image * Object recognition * Blur invariant comparison * Gaussian blur * Projection operators * Image moments * Moment invariants
Subject RIV: IN - Informatics, Computer Science
http://library.utia.cas.cz/separaty/2015/ZOI/flusser-0447035.pdf

We introduce a new theory of invariants to Gaussian blur. The invariants are defined in Fourier spectral domain by means of projection operators and, equivalently, in the image domain by means of image moments. The application of these invariants is in blur-invariant image comparison and recognition. The behavior of the invariants is studied and compared with other methods in experiments on both artificial and real blurred and noisy images.
Permanent Link: http://hdl.handle.net/11104/0249422