Neural network for recognition noisy images of Laguerre-Gaussian modes

Dmitry P. Bukin; Elena S. Kozlova

doi:10.1117/12.2631735

25 July 2022 Neural network for recognition noisy images of Laguerre-Gaussian modes

Dmitry P. Bukin, Elena S. Kozlova

Proceedings Volume 12295, Optical Technologies for Telecommunications 2021; 122950U (2022) https://doi.org/10.1117/12.2631735
Event: Nineteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2021, Samara, Russian Federation

Abstract

In this paper, the effect of different noises on Laguerre-Gaussian (LG) modes recognition by convolution neural network (CNN). A dataset of halftone images with LG modes and noises was prepared during the study. It is shown that not only intensity but also type of noise has high influence on classification process. However, presence of noisy images in the training sample allows to increase the recognition accuracy from 50% to 100% in most cases.

Citation Download Citation

Dmitry P. Bukin and Elena S. Kozlova "Neural network for recognition noisy images of Laguerre-Gaussian modes", Proc. SPIE 12295, Optical Technologies for Telecommunications 2021, 122950U (25 July 2022); https://doi.org/10.1117/12.2631735

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