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Approach to reduce light field sampling redundancy for flame temperature reconstruction

Qi, Qi, Hossain, Md. Moinul, Li, Jin-Jian, Zhang, Biao, Li, Jian, Xu, Chuan-Long (2021) Approach to reduce light field sampling redundancy for flame temperature reconstruction. Optics Express, 29 (9). pp. 13094-13114. ISSN 1094-4087. (doi:10.1364/OE.424112) (KAR id:87993)

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Flame temperature measurement through a light field camera shows an attractive research interest due to its capabilities of obtaining spatial and angular rays' information by a single exposure. However, the sampling information collected by the light field camera is vast and most of them are redundant. The reconstruction process occupies a larger computing memory and time-consuming. We propose a novel approach i.e., feature rays under-sampling (FRUS) to reduce the light field sampling redundancy and thus improve the reconstruction efficiency. The proposed approach is evaluated through numerical and experimental studies. Effects of under-sampling methods, flame dividing voxels, noise levels and light field camera parameters are investigated. It has been observed that the proposed approach provides better anti-noise ability and reconstruction efficiency. It can be valuable not only for the flame temperature reconstruction but also for other applications such as particle image velocimetry and light field microscope.

Item Type: Article
DOI/Identification number: 10.1364/OE.424112
Uncontrolled keywords: Imaging techniques; Laser induced fluorescence; Laser velocimetry; Light fields; Plenoptic imaging; Tunable diode laser absorption spectroscopy
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Moinul Hossain
Date Deposited: 09 May 2021 22:10 UTC
Last Modified: 10 May 2021 11:05 UTC
Resource URI: (The current URI for this page, for reference purposes)
Hossain, Md. Moinul:
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