Computer Science – Performance
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011amos.confe..39h&link_type=abstract
Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, held in Wailea, Maui, Hawaii, September
Computer Science
Performance
Scientific paper
We investigate two variations of the classic multi-frame blind deconvolution (MFBD) algorithm. The first is compact MFBD, a technique for reducing the number of unknown variables in the MFBD problem while still maintaining leverage from all available data frames. The second is a multi-channel MFBD algorithm. We demonstrate the performance of the former using real ground-based imagery of a satellite and show that it produces an image with fewer artifacts than were obtained with conventional MFBD. We demonstrate the performance of the latter using simulated imagery from two telescopes with different sized apertures, and show that data included from the smaller aperture telescope can facilitate an improved restoration over that obtained using solely the data from the large aperture telescope. Both variations of the MFBD technique have application in space situational awareness.
Hope D.
Jefferies Stuart
No associations
LandOfFree
Multi-frame blind deconvolution: Compact and multi-channel versions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Multi-frame blind deconvolution: Compact and multi-channel versions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multi-frame blind deconvolution: Compact and multi-channel versions will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1079058