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一种基于振幅物体约束的相位恢复算法

A Phase Recovery Algorithm Based on the Amplitude Object Constraint
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摘要 针对传统近场衍射GS相位恢复算法需引入微位移平台以记录两个不同物距下的衍射图像作为输入,系统动态特性较差且相较于两帧记录时需要复杂成像位移结构的问题,提出一种基于单帧图像的相位恢复算法。该算法基于振幅物体零相位调制这一先验约束条件进行迭代相位恢复。利用该振幅算法对无透镜系统仿真结果进行相位恢复,实验结果验证了算法的可行性。与传统近场衍射GS算法相比,所提出的算法无论从迭代收敛速度还是结果准确性上都要优于传统算法。 The traditional near-field diffraction GS phase recovery algorithm requires the introduction of a micro-displacement platform to record diffraction images at two different object distances as input,resulting in poor system dynamic characteristics.Contrary to requiring a complex imaging displacement structure for two-frame recording,this paper proposes a phase recovery algorithm based on a single-frame image.This algorithm performs iterative phase recovery using the amplitude object’s zero phase modulation as a prior constraint.Utilising this amplitude-based approach,the lensless system’s simulation results undergo phase recovery,with experimental results validating the feasibility of the algorithm.In comparison to the traditional near-field diffraction GS algorithm,the proposed algorithm surpasses the traditional method in both iterative convergence speed and result accuracy.
作者 牟新刚 肖靖 路志鹏 MOU Xingang;XIAO Jing;LU Zhipeng(School of Mechanical and Electronic Engineering,Wuhan University of Technology,Wuhan 430070,China)
出处 《数字制造科学》 2023年第4期315-320,共6页
关键词 振幅物体 相位恢复 共轭噪声 单帧迭代 amplitude object phase retrieval conjugate noise single frame iterative
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