End-to-end optimization of a diffractive spectral imaging system with coded aperture

Xianmeng Shen; Suodong Ma; Junxue Wang; Qi Yan

doi:10.1117/12.2666518

27 January 2023 End-to-end optimization of a diffractive spectral imaging system with coded aperture

Xianmeng Shen, Suodong Ma, Junxue Wang, Qi Yan

Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125500C (2023) https://doi.org/10.1117/12.2666518
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China

Abstract

Coded Aperture Snapshot Spectral Imaging (CASSI) is an effective tool to capture spectral images, which has the advantages of snapshot imaging, high luminous flux, high signal-to-noise ratio and low sampling frequency. However, conventional CASSI generally uses refractive prisms or gratings for spectral dispersion, which leads to the nonlinear dispersion phenomenon and the requirement of large detector chip respectively. To overcome these issues, conventional refractive prisms or gratings are replaced by an axially dispersive diffractive optical element (DOE, i.e., computational optics) together with a RGB Bayer filter (i.e., a color-coded aperture) in this study. Specifically, the spatial-spectral information of a test scene is jointly modulated by the DOE and the Bayer filter integrated with a sensor chip. A fully differentiable imaging model is built based on the principle of diffractive optics and the deep learning technology. Furthermore, an optimization design of the DOE with the coded aperture is realized through an end-to-end approach, the output spectral images of which are restored by a Res-Unet neural network. Several simulation results show that up to 31 high-fidelity spectral bands in the range of 400 to 700 nm with a good spatial and spectral resolution can be recovered by the proposed snapshot system.

Citation Download Citation

Xianmeng Shen, Suodong Ma, Junxue Wang, and Qi Yan "End-to-end optimization of a diffractive spectral imaging system with coded aperture", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125500C (27 January 2023); https://doi.org/10.1117/12.2666518

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Diffractive optical elements

RGB color model

Coded apertures

Technology

Design and modelling

Modulation

Imaging spectroscopy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years