Advances in image restoration: from theory to practice

0444197 - ÚTIA 2016 RIV US eng A - Abstract
Šroubek, Filip
Advances in image restoration: from theory to practice.
Digital Photography XI. Bellingham: SPIE-IS&T, 2015. ISBN 978-1-62841-494-3. ISSN 0277-786X.
[Digital Photography and Mobile Imaging XI. 09.02.2015-10.02.2015, San Francisco]
EU Projects: European Commission(XE) 621439 - ALMARVI
Grant - others:GA AV ČR(CZ) M100751201
Institutional support: RVO:67985556
Keywords : deconvolution * superresolution * review
Subject RIV: JD - Computer Applications, Robotics
http://library.utia.cas.cz/separaty/2015/ZOI/sroubek-0444197.doc

We rely on images with ever growing emphasis. Our perception of the world is however limited by imperfect measuring conditions and devices used to acquire images. By image restoration, we understand mathematical procedures removing degradation from images. Two prominent topics of image restoration that has evolved considerably in the last 10 years are blind deconvolution and superresolution. Deconvolution by itself is an ill-posed inverse problem and one of the fundamental topics of image processing. The blind case, when the blur kernel is also unknown, is even more challenging and requires special optimization approaches to converge to the correct solution. Superresolution extends blind deconvolution by recovering lost spatial resolution of images. In this talk we will cover the recent advances in both topics that pave the way from theory to practice. Various real acquisition scenarios will be discussed together with proposed solutions for both blind deconvolution and superresolution and efficient numerical optimization methods, which allow fast implementation. Examples with real data will illustrate performance of the proposed solutions.
Permanent Link: http://hdl.handle.net/11104/0247496