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- W2022676849 abstract "In an incoherent imaging system using the liquid crystal active lens, a point spread function can be controlled electrically. Since the liquid crystal active lens is a lens attached to an electrically addressable liquid crystal phase modulator, and the point spread function is an intensity distribution of the Fourier transform of the modulator's phase distribution. In this study, an electro-optical learning system is employed to produce a desirable point spread function by optimizing the phase distribution. Th phase distribution is controlled by a computer and the point spread function of the optical system is captured and fed into the computer. The point spread function is evaluated by the computer to optimize the phase distribution. The optimization method is based on the simulated annealing. The experimentally obtained point spread functions are closer to the desired ones compared to those generated only using a computer, becuase the electro-optical system learns the characteristics of the optical system during the optimization process. The performance of the electro-optical system is discussed." @default.
- W2022676849 created "2016-06-24" @default.
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- W2022676849 date "1995-08-28" @default.
- W2022676849 modified "2023-09-23" @default.
- W2022676849 title "<title>Electro-optical implementation of learning architecture to control point spread function of liquid crystal active lens</title>" @default.
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- W2022676849 doi "https://doi.org/10.1117/12.217658" @default.
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