LAUSR

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.