Improved imaging through flame and smoke using blue LED and quadrature lock-in discrimination algorithm

Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/8002

Title:	Improved imaging through flame and smoke using blue LED and quadrature lock-in discrimination algorithm
Authors:	Debnath, Bapan Dharmadhikari, Jayashree A. Meena, M.S Ramachandran, Hema Dharmadhikari, Aditya K.
Issue Date:	1-Jul-2022
Publisher:	Elsevier
Citation:	Optics and Lasers in Engineering, 2022, Vol. 154, p107045
Abstract:	Visibility is a big issue in imaging through fire and smoke, a situation often encountered by firefighters. Emission from fire is significantly higher in intensity compared to the light reflected from an object obscured by fire, leading to a drastic reduction in the signal-to-noise ratio for visualization. On the other hand, the presence of smoke scatters light in random directions, further reducing visibility. By implementing quadrature lock-in discrimination algorithm on the images captured by a sCMOS camera in the presence of a modulated blue light source and blue filter, we report a significant improvement in the image contrast measured for an object in the presence of flame and smoke. Our methodology is straightforward to realize and facilitates reliable identification of objects that are otherwise concealed in real-life situations due to poor visibility.
Description:	Restricted Access.
URI:	http://hdl.handle.net/2289/8002
ISSN:	0143-8166
Alternative Location:	https://doi.org/10.1016/j.optlaseng.2022.107045
Copyright:	2022 Elsevier B.V.
Appears in Collections:	Research Papers (LAMP)

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