Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deeply coded aperture for lensless imaging

Abstract

In this Letter, we present a method for jointly designing a coded aperture and a convolutional neural network for reconstructing an object from a single-shot lensless measurement. The coded aperture and the reconstruction network are connected with a deep learning framework in which the coded aperture is placed as a first convolutional layer. Our co-optimization method was experimentally demonstrated with a fully convolutional network, and its performance was compared to a coded aperture with a modified uniformly redundant array.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
DNN-FZA camera: a deep learning approach toward broadband FZA lensless imaging

Jiachen Wu, Liangcai Cao, and George Barbastathis
Opt. Lett. 46(1) 130-133 (2021)

Lensless computationally defined confocal incoherent imaging with a Fresnel zone plane as coded aperture

Jihui Chen, Feng Wang, Yulong Li, Xing Zhang, Ke Yao, Zanyang Guan, and Xiangming Liu
Opt. Lett. 48(17) 4520-4523 (2023)

Image reconstruction with transformer for mask-based lensless imaging

Xiuxi Pan, Xiao Chen, Saori Takeyama, and Masahiro Yamaguchi
Opt. Lett. 47(7) 1843-1846 (2022)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (5)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved