Computational super-resolution imaging with multimode fiber using optimized illuminations

Biswajit Pathak; Martin J. Booth; Raphaël Turcotte

doi:10.1117/12.2614642

3 March 2022 Computational super-resolution imaging with multimode fiber using optimized illuminations

Biswajit Pathak, Martin J. Booth, Raphaël Turcotte

Proceedings Volume 11937, Endoscopic Microscopy XVII; 1193707 (2022) https://doi.org/10.1117/12.2614642
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Imaging through a multimode fiber (MMF) with a spatial-resolution beyond the diffraction limit has recently been demonstrated using computational super-resolution methods. We performed a modelling study to assess the performance of a compressed image reconstruction algorithm, Basis Pursuit, using different illuminations. In addition to the increased speed due to the reduced number of measurements, we characterized other potential benefits with respect to robustness to noise and resilience to fiber bending when using compressed imaging with optimized illuminations.

Conference Presentation

Citation Download Citation

Biswajit Pathak, Martin J. Booth, and Raphaël Turcotte "Computational super-resolution imaging with multimode fiber using optimized illuminations", Proc. SPIE 11937, Endoscopic Microscopy XVII, 1193707 (3 March 2022); https://doi.org/10.1117/12.2614642

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available