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.
© 2012 Optical Society of America
Full Article | PDF ArticleMore Like This
Y. Yitzhaky, I. Mor, A. Lantzman, and N. S. Kopeika
J. Opt. Soc. Am. A 15(6) 1512-1519 (1998)
Vadim Loyev and Yitzhak Yitzhaky
Appl. Opt. 45(11) 2444-2452 (2006)
Liheng Ma, Franco Bernelli-Zazzera, Guangwen Jiang, Xingshu Wang, Zongsheng Huang, and Shiqiao Qin
Appl. Opt. 55(17) 4621-4631 (2016)