Abstract

This paper considers the application of intensity correlation imaging with its noise reducing phase retrieval algorithm to astronomical observations. Prior work showed that, when image domain constraints are accounted for, the necessary integration times can be greatly reduced. A limitation of this prior work was that the image domain constraints were presumed known a priori. Assuming only a luminous object against a black sky, this work develops a stochastic search algorithm that, combined with the phase retrieval algorithm, identifies the image constraints and, thereby, completes the image reconstruction. Computational examples demonstrate that practical imaging times are readily achievable.

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Improved integration time estimates for intensity correlation imaging

David C. Hyland
Appl. Opt. 61(33) 10002-10011 (2022)

Analysis and refinement of intensity correlation imaging

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

Noise reducing phase retrieval

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

Improving reconstruction of speckle correlation imaging by using a modified phase retrieval algorithm with the number of nonzero-pixels constraint

Meihua Liao, Dajiang Lu, Wenqi He, Giancarlo Pedrini, Wolfgang Osten, and Xiang Peng
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Analysis of noise-reducing phase retrieval

David C. Hyland
Appl. Opt. 55(13) 3493-3501 (2016)