A study of image reconstruction algorithms for hybrid intensity interferometers

Peter N. Crabtree; Jeremy Murray-Krezan; Richard H. Picard

doi:10.1117/12.894069

13 September 2011 A study of image reconstruction algorithms for hybrid intensity interferometers

Peter N. Crabtree, Jeremy Murray-Krezan, Richard H. Picard

Proceedings Volume 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems; 81650S (2011) https://doi.org/10.1117/12.894069
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

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.

Citation Download Citation

Peter N. Crabtree, Jeremy Murray-Krezan, and Richard H. Picard "A study of image reconstruction algorithms for hybrid intensity interferometers", Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81650S (13 September 2011); https://doi.org/10.1117/12.894069

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KEYWORDS

Signal to noise ratio

Reconstruction algorithms

Lawrencium

Image restoration

Phase retrieval

Image quality

Fourier transforms

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