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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Detalles Bibliográficos
Autores principales: Evdokimova, Viktoria V., Podlipnov, Vladimir V., Ivliev, Nikolay A., Petrov, Maxim V., Ganchevskaya, Sofia V., Fursov, Vladimir A., Yuzifovich, Yuri Yu., Stepanenko, Sergey O., Kazanskiy, Nikolay L., Nikonorov, Artem V., Skidanov, Roman V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823562/
https://www.ncbi.nlm.nih.gov/pubmed/36617009
http://dx.doi.org/10.3390/s23010415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823562/
https://www.ncbi.nlm.nih.gov/pubmed/36617009
http://dx.doi.org/10.3390/s23010415

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