Multiframe blind deconvolution for imaging in daylight and strong turbulence conditions

Michael Hart, Stuart Jefferies, Douglas Hope, E. Keith Hege, Runa Briguglio, Enrico Pinna, Alfio Puglisi, Fernando Quiros, Marco Xompero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We describe results from new computational techniques to extend the reach of large ground-based optical telescopes, enabling high resolution imaging of space objects under daylight conditions. Current state-of-the-art systems, even those employing adaptive optics, dramatically underperform in such conditions because of strong turbulence generated by diurnal solar heating of the atmosphere, characterized by a ratio of telescope diameter to Fried parameter as high as 70. Our approach extends previous advances in multi-frame blind deconvolution (MFBD) by exploiting measurements from a wavefront sensor recorded simultaneously with high-cadence image data. We describe early results with the new algorithm which may be used with seeing-limited image data or as an adjunct to partial compensation with adaptive optics to restore imaging to the diffraction limit even under the extreme observing conditions found in daylight.

Original languageEnglish (US)
Title of host publicationUnconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems
DOIs
StatePublished - Nov 7 2011
EventUnconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems - San Diego, CA, United States
Duration: Aug 21 2011Aug 25 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8165
ISSN (Print)0277-786X

Other

OtherUnconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems
CountryUnited States
CitySan Diego, CA
Period8/21/118/25/11

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Keywords

  • Multi-frame blind deconvolution
  • daylight observing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Hart, M., Jefferies, S., Hope, D., Hege, E. K., Briguglio, R., Pinna, E., Puglisi, A., Quiros, F., & Xompero, M. (2011). Multiframe blind deconvolution for imaging in daylight and strong turbulence conditions. In Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems [81650L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8165). https://doi.org/10.1117/12.896564