Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination
Tschannerl, Julius and Ren, Jinchang and Zhao, Huimin and kao, Fu-Jen and Marshall, Stephen and Yuen, Peter (2019) Hyperspectral image reconstruction using multi-colour and time-multiplexed LED illumination. Optics and Lasers in Engineering, 121. pp. 352-357. ISSN 0143-8166 (https://doi.org/10.1016/j.optlaseng.2019.04.014)
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Abstract
The rapidly rising industrial interest in hyperspectral imaging (HSI) has generated an increased demand for cost effective HSI devices. We are demonstrating a mobile and low-cost multispectral imaging system, enabled by time-multiplexed RGB Light Emitting Diodes (LED) illumination, which operates at video framerate. Critically, a deep Multi-Layer Perceptron (MLP) with HSI prior in the spectral range of 400–950 nm is trained to reconstruct HSI data. We incorporate regularisation and dropout to compensate for overfitting in the largely ill-posed problem of reconstructing the HSI data. The MLP is characterised by a relatively simple design and low computational burden. Experimental results on 51 objects of various references and naturally occurring materials show the effectiveness of this approach in terms of reconstruction error and classification accuracy. We were also able to show that utilising additional colour channels to the three R, G and B channels adds increased value to the reconstruction.
ORCID iDs
Tschannerl, Julius ORCID: https://orcid.org/0000-0002-4613-1693, Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194, Zhao, Huimin, kao, Fu-Jen, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628 and Yuen, Peter;-
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Item type: Article ID code: 67975 Dates: DateEvent31 October 2019Published6 May 2019Published Online14 April 2019AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 23 May 2019 08:29 Last modified: 11 Nov 2024 12:18 URI: https://strathprints.strath.ac.uk/id/eprint/67975