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.
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering
Cited by
2 articles.
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1. Apriori Correlation Algorithm based Smart Grid Big Data Transaction Model Research;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22
2. Analysis and refinement of intensity correlation imaging;Applied Optics;2023-07-12