Compressive sensing-based super-resolution multispectral imaging system

Feng Huang; Peng Lin; Xianyu Wu; Rongjin Cao; Bin Zhou

doi:10.1117/12.2623558

27 March 2022 Compressive sensing-based super-resolution multispectral imaging system

Feng Huang, Peng Lin, Xianyu Wu, Rongjin Cao, Bin Zhou

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 1216934 (2022) https://doi.org/10.1117/12.2623558
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Bandpass filter–based multispectral (MS) imaging systems have difficulty achieving high-quality MS imaging results while capturing high spatial resolution MS data cubes. This paper proposes a notch filter–based low-cost multicamera MS imaging system that acquires high-resolution MS images. By taking advantage of notch filters to block only specific bands of the spectrum, light from most of the spectrum is allowed to pass through, resulting in a high light efficiency imaging system. A compressive sensing approach is proposed to obtain images of high spatial and spectral resolution. Trained sparse dictionaries are used to perform the spectral and spatial data super-resolution of the acquired images. We simulated the effectiveness of our algorithm on a public dataset and verified the imaging performance of the prototype system by observing natural images. The experimental results show that the spatial resolution can be improved threefold on the laboratory target, the spectral resolution can be improved from 9 to 31 bands, and the average peak signal-to-noise ratio remains at 39. Our prototype imaging system can realize high spatial and spectral resolution imaging results.

Citation Download Citation

Feng Huang, Peng Lin, Xianyu Wu, Rongjin Cao, and Bin Zhou "Compressive sensing-based super-resolution multispectral imaging system", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 1216934 (27 March 2022); https://doi.org/10.1117/12.2623558

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

Imaging systems

Compressed sensing

Spatial resolution

Image filtering

Super resolution

Bandpass filters

Multispectral imaging

Keywords/Phrases

Search In:

Publication Years