Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ODF > 2022 > OThP4B > OThP4B_01
  • Proceedings of the 2022 International Symposium on Imaging, Sensing, and Optical Memory (ISOM) and the 13th International Conference on Optics-photonics Design and Fabrication (ODF)
  • Technical Digest Series (Optica Publishing Group, 2022),
  • paper OThP4B_01

Lensless imaging based on compressive sensing and deep learning

Jiachen Wu, Yuchen Ma, and Liangcai Cao

Not Accessible

Your library or personal account may give you access

Abstract

A lensless imaging model is designed for a Fresnel zone aperture camera. The compressive sensing and deep learning algorithms are developed to reduce the reconstruction noise for a higher reconstruction speed and quality.

© 2022 IEEE

PDF Article
More Like This
Fresnel Zone Aperture Imaging Using Compressive Sensing

Jiachen Wu, Hua Zhang, Wenhui Zhang, Guofan Jin, and Liangcai Cao
M3B.1 Digital Holography and Three-Dimensional Imaging (DH) 2019

CMSnet: State of the Art Deep Learning Multiscale Reconstruction for Compressive Sensing

Vladislav Kravets and Adrian Stern
JW5C.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2022

Phase Modulation Fresnel Zone Aperture for Image Resolution Improvement in Lensless Cameras

Keita Yamaguchi, Kazuyuki Tajima, Yusuke Nakamura, and Takeshi Shimano
OFA3A_03 International Conference on Optics-Photonics Design and Fabrication (ODF) 2022

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use