Color-Coded Compressive Spectral Imager Based on Focus Transformer Network

Simple item page
Author(s)Li, Jinshan
Author(s)Ma, Xu
Author(s)Paruchuri, Aanish
Author(s)Alrushud, Abdullah
Author(s)Arce, Gonzalo R.
Date Accessioned2025-05-07T18:26:47Z
Date Available2025-05-07T18:26:47Z
Publication Date2025-03-23
DescriptionThis article was originally published in Sensors. The version of record is available at: https://doi.org/10.3390/s25072006. © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
AbstractCompressive spectral imaging (CSI) methods aim to reconstruct a three-dimensional hyperspectral image (HSI) from a single or a few two-dimensional compressive measurements. Conventional CSIs use separate optical elements to independently modulate the light field in the spatial and spectral domains, thus increasing the system complexity. In addition, real applications of CSIs require advanced reconstruction algorithms. This paper proposes a low-cost color-coded compressive snapshot spectral imaging method to reduce the system complexity and improve the HSI reconstruction performance. The combination of a color-coded aperture and an RGB detector is exploited to achieve higher degrees of freedom in the spatio-spectral modulations, which also renders a low-cost miniaturization scheme to implement the system. In addition, a deep learning method named Focus-based Mask-guided Spectral-wise Transformer (F-MST) network is developed to further improve the reconstruction efficiency and accuracy of HSIs. The simulations and real experiments demonstrate that the proposed F-MST algorithm achieves superior image quality over commonly used iterative reconstruction algorithms and deep learning algorithms.
SponsorThe authors Jinshan Li and Xu Ma are supported by the National Natural Science Foundation of China (U2241275).
CitationLi, Jinshan, Xu Ma, Aanish Paruchuri, Abdullah Alrushud, and Gonzalo R. Arce. 2025. "Color-Coded Compressive Spectral Imager Based on Focus Transformer Network" Sensors 25, no. 7: 2006. https://doi.org/10.3390/s25072006
ISSN1424-8220
URLhttps://udspace.udel.edu/handle/19716/36112
Languageen_US
PublisherSensors
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
Keywordshyperspectral imaging
Keywordscompressive sensing
Keywordscolor-coded aperture
Keywordstransformer
TitleColor-Coded Compressive Spectral Imager Based on Focus Transformer Network
TypeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Color-Coded Compressive Spectral Imager Based on Focus Transformer Network.pdf
Size:
2.06 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
124 B
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Access Publications - Department of Electrical and Computer Engineering