Intensity correlation imaging(ICI) method can obtain high resolution image with ground-based low precision mirrors, in
the imaging process, phase retrieval algorithm should be used to reconstituted the object’s image. But the algorithm now
used(such as hybrid input-output algorithm) is sensitive to noise and easy to stagnate. However the signal-to-noise ratio
of intensity interferometry is low especially in imaging astronomical objects. In this paper, we build the mathematical
model of phase retrieval and simplified it into a constrained optimization problem of a multi-dimensional function. New
error function was designed by noise distribution and prior information using regularization method. The simulation
results show that the regularization method can improve the performance of phase retrieval algorithm and get better
image especially in low SNR condition
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