Abstract

Despite the simplicity of flux collecting hardware, robustness to misalignments, and immunity to seeing conditions, intensity correlation imaging arrays using the Brown–Twiss effect to determine two-dimensional images have been burdened with very long integration times. The root cause is that the essential phase retrieval algorithms must use image domain constraints, and traditional signal-to-noise calculations do not account for these. Thus, conventional formulations are not efficient estimators. This work incorporates image domain constraints in a noise reducing phase retrieval algorithm to estimate integration times that are orders of magnitude smaller than those produced by conventional calculations.

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Algorithm for determination of image domain constraints for intensity correlation imaging

David C. Hyland
Appl. Opt. 61(35) 10425-10432 (2022)

Noise reducing phase retrieval

David C. Hyland
Appl. Opt. 54(33) 9728-9735 (2015)

Analysis and refinement of intensity correlation imaging

David C. Hyland
Appl. Opt. 62(21) 5683-5695 (2023)

Fine delay estimation with time integrating correlators

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Signal-to-noise ratio limitations for intensity correlation imaging

David L. Fried, Jim Riker, and Brij Agrawal
J. Opt. Soc. Am. A 31(7) 1536-1546 (2014)