Coded-diffraction-pattern phase retrieval algorithms enhance performance with the help of random masks. However, traditional methods only focus on the randomness of the masks and disregard their non-bandlimited characteristics. The intensity measurements thus include plenty of high-frequency components outside the consideration of phase retrieval algorithm and lead to degraded performance. This article presents a green noise binary masking technique to substantially reduce the high-frequency components of the masks while meeting the randomization criterion. In addition, a novel phase retrieval algorithm is proposed to incorporate arbitrary denoising algorithms as prior based on the plug-and-plug framework. Simulation and experimental results show that the proposed green noise-masking technique and the plug-and-play reconstruction algorithm outperform the traditional methods in phase retrieval.
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