A generic multispectral demosaicking method based on inter-channel spectrum correlation

Xuejun Zhang; Geng Zhang; Bingliang Hu

doi:10.1117/12.2688177

6 November 2023 A generic multispectral demosaicking method based on inter-channel spectrum correlation

Xuejun Zhang, Geng Zhang, Bingliang Hu

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292113 (2023) https://doi.org/10.1117/12.2688177
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

Multispectral images have more spectral bands compared to RGB color images and also contain more information. Therefore, multispectral images have a wide range of applications, including atmospheric environment detection, medical diagnostics, agricultural disease detection, and food monitoring. Because acquiring raw multispectral images requires embedding multiple cameras and various mechanical and optical components to image them once, these systems are very heavy and not inexpensive, so their use is limited. In order to solve these problems, a kind of sensor technology called Multispectral Filter Array (MSFA) has become a hot topic and gradually developed. Snapshot multispectral imaging based on MSFA can lead to severe sparsity in each channel of the original captured image. Each pixel on the detector based on MSFA only responds to the optical information of the corresponding spectral band, so the other spectral band information of the pixel is lost. We refer to the original image captured based on MSFA as mosaic image. In order to obtain multiple single spectral band images with full resolution, we need to carry out a process called demosaicking on the original image. In this article, we present a generic demosaicking approach based on inter-channel spectrum correlation. In order to verify the effect of the proposed approach, we conducted some validation experiments on a public database. Experimental results show that the proposed approach is better than the classical methods in spatial reconstruction and spectral accuracy.

Citation Download Citation

Xuejun Zhang, Geng Zhang, and Bingliang Hu "A generic multispectral demosaicking method based on inter-channel spectrum correlation", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292113 (6 November 2023); https://doi.org/10.1117/12.2688177

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
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image restoration

Multispectral imaging

Image processing

Image fusion

Image segmentation

Imaging systems

Interpolation

Show All Keywords

Keywords/Phrases

Search In:

Publication Years