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Proceedings Paper

Real time phase diversity advanced image processing and wavefront sensing
Author(s): Jean J. Dolne; Paul Menicucci; David Miccolis; Ken Widen; Harold Seiden; Frederick Vachss; Harold Schall
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Paper Abstract

This paper will describe a state-of-the-art approach to real time wavefront sensing and image enhancement. It will explore Boeing existing technology that realizes a 50 Hz frame rate (with a path to 1 KHz and higher). At this higher rate, Phase diversity will be readily applicable to compensate for distortions of large dynamic bandwidth such as those of the atmosphere. We will describe various challenges in aligning a two-camera phase diversity system. Such configurations make it almost impossible to process the captured images without additional upgrade in the algorithm to account for alignment errors. An example of an error is the relative misalignment of the two images, the "best-focus" and the diversity image where it is extremely hard to maintain alignment to less than a fraction of one pixel. We will show that the algorithm performance increases dramatically when we account for these errors in the phase diversity estimation process. Preliminary evaluation has assessed a NIIRS increase of ~ 3 from the "best-focus" to the enhanced image. Such a performance improvement would greatly increase the operating range (or, equivalently, decrease the weight) of many optical systems.

Paper Details

Date Published: 26 September 2007
PDF: 7 pages
Proc. SPIE 6712, Unconventional Imaging III, 67120G (26 September 2007); doi: 10.1117/12.740064
Show Author Affiliations
Jean J. Dolne, The Boeing Co. (United States)
Paul Menicucci, The Boeing Co. (United States)
David Miccolis, The Boeing Co. (United States)
Ken Widen, The Boeing Co. (United States)
Harold Seiden, The Boeing Co. (United States)
Frederick Vachss, The Boeing Co. (United States)
Harold Schall, The Boeing Co. (United States)

Published in SPIE Proceedings Vol. 6712:
Unconventional Imaging III
Jean J. Dolne; Victor L. Gamiz; Paul S. Idell, Editor(s)

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