Improved integration time estimates for intensity correlation imaging

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.