Research on multi-point light focusing based on complex neural network

Chengchao Xiang; Zhaoyang Ttang; Yuanshen Xiao; Yingchun Ding; Jiaqi He

doi:10.1117/12.2603136

31 August 2021 Research on multi-point light focusing based on complex neural network

Chengchao Xiang, Zhaoyang Ttang, Yuanshen Xiao, Yingchun Ding, Jiaqi He

Proceedings Volume 11907, Sixteenth National Conference on Laser Technology and Optoelectronics; 119072H (2021) https://doi.org/10.1117/12.2603136
Event: Sixteenth National Conference on Laser Technology and Optoelectronics, 2021, Shanghai, China

Abstract

The research of light focusing and imaging through scattering media is currently a popular topic. Many focusing technologies have been developed, such as transmission matrix method, phase conjugation method, iterative optimization method, etc. However, these methods have some limitations. At present, deep learning methods have been widely used in the field of image restoration, and have strong inverse restoration capabilities. Yet, the application of this method in the field of optical focusing is still relatively limited, and the performance is not ideal. In this letter, a method based on complex neural network is proposed, and the multi-point focusing of light passing through the scattering medium is numerically simulated. Since the complex information of the network is not reduced, compared with the real number neural network method, this method more accurately simulates the recovery process of light scattering, and can obtain multiple light focal points with high enhancement at the same time.

Citation Download Citation

Chengchao Xiang, Zhaoyang Ttang, Yuanshen Xiao, Yingchun Ding, and Jiaqi He "Research on multi-point light focusing based on complex neural network", Proc. SPIE 11907, Sixteenth National Conference on Laser Technology and Optoelectronics, 119072H (31 August 2021); https://doi.org/10.1117/12.2603136

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