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Proceedings Paper

Towards multi-aperture imaging using diffractive lens
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Paper Abstract

The use of multi-aperture cameras is one of the modern trends for imaging devices, both consumer-grade and professional. This paper presents the creation of multi-aperture cameras based on long-focus single diffraction lenses. These lenses are several times better than the common lenses in terms of weight and cost, but they are significantly inferior in quality of the resulting image, and therefore they require computational reconstruction stage. We introduce various schemes of multi-aperture diffraction lenses, allowing to increase both the viewing angle and the resolution of the imaging system. We propose a convolutional neural network for image reconstruction in multi-aperture diffraction optical systems.

Paper Details

Date Published: 24 June 2019
PDF: 6 pages
Proc. SPIE 11146, Optical Technologies for Telecommunications 2018, 111460Y (24 June 2019);
Show Author Affiliations
Artem V. Nikonorov, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Roman V. Skidanov, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Viktoriya V. Kutikova, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Maksim V. Petrov, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Andrey P. Alekseyev , Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Sergey A. Bibikov , Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)
Nikolay L. Kazanskiy, Samara National Research Univ. (Russian Federation)
Image Processing Systems Institute of the RAS (Russian Federation)


Published in SPIE Proceedings Vol. 11146:
Optical Technologies for Telecommunications 2018
Vladimir A. Andreev; Anton V. Bourdine; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)

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