Stuart Jefferies, Georgia State University, Douglas Hope, Hope Scientific Renaissance LLC, Cody Smith, Georgia State University
Keywords: Blind deconvolution, high-resolution imaging, image restoration,
Abstract:
Multi-frame blind deconvolution (MFBD) has been a cornerstone for ground-based space situational awareness of near-Earth satellites, since the early 2000’s. In 2011, a variation of the classic MFBD algorithm was introduced that required solving for fewer variables than in the classic algorithm, but which still used all the available data to constrain the solution. The initial application of the new approach, referred to as compact multi-frame blind deconvolution (CMFBD), was found to be significantly faster than MFBD, and showed an indication that it may be able to provide restorations of higher quality (fewer artifacts).
Date of Conference: September 19-22, 2017
Track: Adaptive Optics & Imaging