title: Platform motion blur image restoration system.
abstract: 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.
authors.affiliation: Photonic Systems Integration Laboratory, Electrical Engineering Department, University of California at San Diego, 9500 Gilman Dr., La Jolla, California 92093, USA. sjolivas@ucsd.edu
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Olivas
authors.forename: Michal
authors.initials: M
authors.lastname: Šorel
authors.forename: Joseph E
authors.initials: JE
authors.lastname: Ford