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Proceedings Paper

A study of image reconstruction algorithms for hybrid intensity interferometers
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Paper Abstract

Phase retrieval is explored for image reconstruction using outputs from both a simulated intensity interferometer (II) and a hybrid system that combines the II outputs with partially resolved imagery from a traditional imaging telescope. Partially resolved imagery provides an additional constraint for the iterative phase retrieval process, as well as an improved starting point. The benefits of this additional a priori information are explored and include lower residual phase error for SNR values above 0.01, increased sensitivity, and improved image quality. Results are also presented for image reconstruction from II measurements alone, via current state-of-the-art phase retrieval techniques. These results are based on the standard hybrid input-output (HIO) algorithm, as well as a recent enhancement to HIO that optimizes step lengths in addition to step directions. The additional step length optimization yields a reduction in residual phase error, but only for SNR values greater than about 10. Image quality for all algorithms studied is quite good for SNR≥10, but it should be noted that the studied phase-recovery techniques yield useful information even for SNRs that are much lower.

Paper Details

Date Published: 13 September 2011
PDF: 12 pages
Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81650S (13 September 2011); doi: 10.1117/12.894069
Show Author Affiliations
Peter N. Crabtree, Air Force Research Lab. (United States)
Jeremy Murray-Krezan, Air Force Research Lab. (United States)
Richard H. Picard, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 8165:
Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems
Stanley Rogers; Jean J. Dolne; David P. Casasent; Thomas J. Karr; Victor L. Gamiz, Editor(s)

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