Phase retrieval of pure phase object based on compressed sensing

被引:2
|
作者
Yang Zhen-Ya [1 ]
Zheng Chu-Jun [1 ]
机构
[1] S China Normal Univ, Sch Phys & Telecommun Engn, Guangzhou 510006, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
phase retrieval; compressed sensing; ALGORITHM; RECOVERY; IMAGE;
D O I
10.7498/aps.62.104203
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Traditional phase retrieval algorithm, which iteratively reconstructs the phase from 2-intensity measurement or 1-intensity measurement, requires Shannon sampling theorem to be satisfied. This could lead to more requirements for data storage when high resolution imaging is concerned. In order to lower the sampling budget, in this paper we purpose a compressed sensing based phase retrieval algorithm. Through 1-intensity measurement in Fourier plane, our improved Hybrid I/O algorithm is used to reconstruct the exact phase retribution of pure phase object. The algorighm proposed in this paper can reconstruct piecewise regular phase distributed pure phase object from far less amplitude measurements than ones for which the sampling theorem requires to be satisfied. The simulated data indicate that the algorithm has a good converge performance.
引用
收藏
页数:6
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