Multi-image iterative parallel phase retrieval methods are widely used in measurement and imaging, due to its simplicity and effectiveness. However, the retrieved image will have foggy diffuse noise, since some unknown cross-talk factors exist in iterative calculation. In this paper, a new update method is embedded into the calculation process of phase retrieval. The iterative strategy of phase retrieval is updated to enhance robustness for noisy images. Experimental and simulated results have demonstrated that the improved algorithm has faster convergence speed and higher anti-noise performance.

中文翻译：

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一种基于结构补丁分解的抗噪声多强度相位检索方法

多图像迭代并行相位检索方法由于其简单性和有效性而被广泛应用于测量和成像中。然而，由于迭代计算中存在一些未知的串扰因素，检索到的图像将具有模糊的漫反射噪声。本文将一种新的更新方法嵌入到相位检索的计算过程中。更新相位检索的迭代策略以增强对噪声图像的鲁棒性。实验和仿真结果表明，改进算法具有更快的收敛速度和更高的抗噪性能。