Platform motion blur image restoration system

0384298 - ÚTIA 2013 RIV US eng J - Journal Article
Olivas, S. J. - Šorel, Michal - Ford, J.
Platform motion blur image restoration system.
Applied Optics. Roč. 51, č. 34 (2012), s. 8246-8256. ISSN 1559-128X. E-ISSN 2155-3165
R&D Projects: GA MV VG20102013064
Institutional support: RVO:67985556
Keywords : image processing * image stabilization * deblurring
Subject RIV: JD - Computer Applications, Robotics
Impact factor: 1.689, year: 2012
http://library.utia.cas.cz/separaty/2012/ZOI/sorel-0384298.pdf

Platform motion blur is a common problem for airborne and space-based imagers. Photographs taken by hand or from moving vehicles in low-light conditions are also typically blurred. Correcting image motion blur poses a formidable problem since it requires a description of the blur in the form of the point spread function (PSF), which in general is dependent on spatial location within the image. Here we introduce a computational imaging system that incorporates optical position sensing detectors (PSDs), a conventional camera, and a method to reconstruct images degraded by spatially variant platform motion blur. A PSD tracks the movement of light distributions on its surface. It leverages more energy collection than a single pixel since it has a larger area making it proportionally faster. This affords it high temporal resolution as it measures the PSF at a specific location in the image field. Using multiple PSDs, a spatially variant PSF is generated and used to reconstruct images.
Permanent Link: http://hdl.handle.net/11104/0213997