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

Low-rank Reconstruction for Multimode Fiber Imaging

Not Accessible

Your library or personal account may give you access

Abstract

We present a novel scheme of multimode fiber imaging based on low-rank constraint. Compared with the sparse constraint, low-rank reconstruction will achieve higher image quality and smoothness, especially in under-sampling cases.

© 2020 The Author(s)

PDF Article
More Like This
Low-rank constrained image enhancement for ghost imaging

Tiaohua Li, Bin Luo, Dongchu Han, Junhui Li, Dongyue Yang, Guohua Wu, and Hong Guo
JW4A.133 Frontiers in Optics (FiO) 2018

Data Compression of Time-lapse Optical Coherence Tomography Images Based On Low-rank Plus Sparse Reconstruction

Yuye Ling, James P. McLean, and Christine P. Hendon
JW3A.35 Clinical and Translational Biophotonics (Translational) 2018

Low-Rank Reconstruction Filters for Extended Depth of Focus Imaging

Gregory E. Johnson
ITuA5 Integrated Computational Imaging Systems (ICIS) 2001

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.