Hybrid Refractive-Diffractive Lens with Reduced Chromatic and Geometric Aberrations and Learned Image Reconstruction

Hybrid Refractive-Diffractive Lens with Reduced Chromatic and Geometric Aberrations and Learned Image Reconstruction

In this paper, we present a hybrid refractive-diffractive lens that, when paired with a deep neural network-based image reconstruction, produces high-quality, real-world images with minimal artifacts, reaching a PSNR of 28 dB on the test set. Our diffractive element compensates for the off-axis aber...

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Bibliographic Details
Main Authors: Viktoria V. Evdokimova, Vladimir V. Podlipnov, Nikolay A. Ivliev, Maxim V. Petrov, Sofia V. Ganchevskaya, Vladimir A. Fursov, Yuriy Yuzifovich, Sergey O. Stepanenko, Nikolay L. Kazanskiy, Artem V. Nikonorov, Roman V. Skidanov
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
diffractive-refractive hybrid optics
computational imaging
deep learning
lens optimization
image reconstruction
Online Access:https://www.mdpi.com/1424-8220/23/1/415

Internet

https://www.mdpi.com/1424-8220/23/1/415

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