0384298 20240103201622.320121210235959.9 000311889400024 84870860640 10.1364/AO.51.008246 11 s. cav_un_epca*03780691559-128X5134 (2012)8246-8256Optical Society of America image processing image stabilization deblurring cav_un_auth*0282427 Olivas S. J. US cav_un_auth*0108377 Šorel Michal Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0282429 Ford J. US http://library.utia.cas.cz/separaty/2012/ZOI/sorel-0384298.pdf VG20102013064 GA MV cav_un_auth*0273814 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. 2013 JD 4 A 4a 20231122135343.3 RVO:67985556 http://hdl.handle.net/11104/0213997 OPTICS 1.701 0.33 >10.0 0.04556 0.502 34848 1185 1.042 Q1 37.988 64.375 Q3 Q1 2012 Soubory v repozitáři: sorel-0384298.pdf 84870860640 SCOPUS 000311889400024 WOS cav_un_epca*0378069 Applied Optics 1559-128X 2155-3165 Roč. 51 č. 34 2012 8246 8256 Optical Society of America