Tuning parameters of phase retrieval algorithm for single-shot imaging based on object-modulated speckles by particle swarm optimization
Tuning parameters of phase retrieval algorithm for single-shot imaging based on object-modulated speckles by particle swarm optimization
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DOI：
10.1016/j.optlastec.2022.109004
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Cesar Arturo Hernandez-Alvarez;Lipei Song;Yufei Wang;T. Alonso-Rasgado;Lei Su
中科院分区：
文献类型：
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作者：
Cesar Arturo Hernandez-Alvarez;Lipei Song;Yufei Wang;T. Alonso-Rasgado;Lei Su
通过散射介质成像已成为光学成像的一个重要方面。为了实现这一点，已经提出了不同的方法来从散射介质后面的散射散斑恢复成像对象的相位。然而，所有这些算法都需要基于成像对象的先验知识获得的初始参数。这是不切实际的，因为成像对象的先验知识在真实的成像应用中并不总是可用的。在本文中，我们提出使用粒子群优化算法来找到这些最佳参数，而不需要先验知识的成像对象。这些最佳值，然后采用在相位恢复算法的基础上的目标调制散斑的目标图像重建后的散射介质中的单次拍摄成像系统。高斯滤波器的标准偏差的值的获得和阈值控制允许相位恢复更快地收敛，并且避免了在搜索最佳重建时运行算法多于一次的需要。
Imaging through scattering media has become an important aspect in optical imaging. To achieve this, different approaches have been presented to recover the phase of an imaging object from its scattered speckle behind a scattering medium. However, all these algorithms require initial parameters which are obtained based on prior knowledge of the imaging object. This is impractical, as prior knowledge of the imaging object is not always available in real imaging applications. In this paper, we propose using a Particle Swarm Optimization algorithm to find these optimal parameters without requiring prior knowledge of the imaging object. These optimal values are then adopted in the Phase Retrieval algorithm based on object-modulated speckles for object image reconstruction behind a scattering medium in a single-shot imaging system. The obtention of the values for the standard deviation for Gaussian filter and the threshold control allows Phase Retrieval to converge faster and avoids the need for running the algorithm more than once in the search for the best reconstruction.