Paper
12 May 2015 Computational methods for improving thermal imaging for consumer devices
Author Affiliations +
Abstract
In consumer imaging, the spatial resolution of thermal microbolometer arrays is limited by the large physical size of the individual detector elements. This also limits the number of pixels per image. If thermal sensors are to find a place in consumer imaging, as the newly released FLIR One would suggest, this resolution issue must be addressed. Our work focuses on improving the output quality of low resolution thermal cameras through computational means. The method we propose utilises sub-pixel shifts and temporal variations in the scene, using information from thermal and visible channels. Results from simulations and lab experiments are presented.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colm N. Lynch, Nicholas Devaney, and Alexandru Drimbarean "Computational methods for improving thermal imaging for consumer devices", Proc. SPIE 9485, Thermosense: Thermal Infrared Applications XXXVII, 94850P (12 May 2015); https://doi.org/10.1117/12.2176566
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Cited by 1 scholarly publication.
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KEYWORDS
Super resolution

Cameras

Spatial frequencies

Thermography

Image resolution

Visible radiation

Forward looking infrared

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