Application of a neural network for calculating the surface relief of a different level two-zone lens with an increased depth of field

Alexey Dzyuba; Pavel Serafimovich; Svetlana Khonina; Sergei Popov

doi:10.1117/12.2565993

22 May 2020 Application of a neural network for calculating the surface relief of a different level two-zone lens with an increased depth of field

Alexey Dzyuba, Pavel Serafimovich, Svetlana Khonina, Sergei Popov

Author Affiliations +

Proceedings Volume 11516, Optical Technologies for Telecommunications 2019; 115161A (2020) https://doi.org/10.1117/12.2565993
Event: XVII International Scientific and Technical Conference "Optical Technologies for Telecommunications", 2019, Kazan, Russian Federation

Abstract

The paper proposes using a two-zone different level Fresnel lens to increase the depth of field. On the one hand, such a diffractive optical element can reduce the weight of the device compared to, for example, cubic phase and binary axicon apodization. On the other hand, such an element has a simpler structure compared to a harmonic lens or free-form DOE. A neural network is used to restore the image. Optimization of the surface relief of the proposed two-zone lens is performed.

Citation Download Citation

Alexey Dzyuba, Pavel Serafimovich, Svetlana Khonina, and Sergei Popov "Application of a neural network for calculating the surface relief of a different level two-zone lens with an increased depth of field", Proc. SPIE 11516, Optical Technologies for Telecommunications 2019, 115161A (22 May 2020); https://doi.org/10.1117/12.2565993

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