Paper
13 September 2011 Multiframe blind deconvolution for imaging in daylight and strong turbulence conditions
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Hart, Stuart Jefferies, Douglas Hope, E. Keith Hege, Runa Briguglio, Enrico Pinna, Alfio Puglisi, Fernando Quiros, and Marco Xompero "Multiframe blind deconvolution for imaging in daylight and strong turbulence conditions", Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81650L (13 September 2011); https://doi.org/10.1117/12.896564
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Cited by 6 scholarly publications.
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KEYWORDS
Wavefronts

Adaptive optics

Telescopes

Point spread functions

Space telescopes

Turbulence

Image restoration

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