Digital image processing for wide-angle highly spatially variant imagers

0431984 - ÚTIA 2015 RIV US eng C - Conference Paper (international conference)
Olivas, Stephen J. - Šorel, Michal - Arianpour, A. - Stamenov, I. - Nikzad, N. - Schuster, Glenn M. - Motamedi, N. - Mellette, William M. - Stack, Ron A. - Johnson, A. - Morrison, R. - Agurok, Ilya P. - Ford, Joseph E.
Digital image processing for wide-angle highly spatially variant imagers.
Novel Optical Systems Design and Optimization XVII. Bellingham: SPIE, 2014. SPIE Proceedings, 9193. ISBN 978-1-62841-220-8. ISSN 0277-786X.
[Novel Optical Systems Design and Optimization XVII. San Diego (US), 17.08.2014-21.08.2014]
R&D Projects: GA ČR GA13-29225S
Institutional support: RVO:67985556
Keywords : Fibre bundle image relay * Artifact removal * Spatially variant
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2014/ZOI/sorel-0431984.pdf

High resolution, wide field-of-view and large depth-of-focus imaging systems are greatly desired and have received much attention from researchers who seek to extend the capabilities of cameras. Monocentric lenses are superior in performance over other wide field-of-view lenses with the drawback that they form a hemispheric image plane which is incompatible with current sensor technology. Fiber optic bundles can be used to relay the image the lens produces to the sensor's planar surface. This requires image processing to correct for artifacts inherent to fiber bundle image transfer. Using a prototype fiber coupled monocentric lens imager we capture single exposure focal swept images from which we seek to produce extended depth-of-focus images. Point spread functions (PSF) were measured in lab and found to be both angle and depth dependent. This spatial variance enforces the requirement that the inverse problem be treated as such.
Permanent Link: http://hdl.handle.net/11104/0237781