Deep learning-based image reconstruction for multi-aperture diffractive lens

3Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Multi-aperture imaging systems are one of the modern trends for imaging devices. The paper presents the results of developing a multi-aperture imaging system based on single diffractive lenses and postprocessing pipeline based on deep learning. The pipeline includes two processing steps: color correction using a generative adversarial network and chromatic deblurring by a convolutional neural network.

Cite

CITATION STYLE

APA

Nikonorov, A. V., Skidanov, R. V., Evdokimova, V. V., Petrov, M. V., Alekseyev, A. P., Bibikov, S. A., & Kazanskiy, N. L. (2019). Deep learning-based image reconstruction for multi-aperture diffractive lens. In Journal of Physics: Conference Series (Vol. 1368). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1368/5/052031

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free