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Real Time Hyperspectral Imaging Using High Frame Rate Video Camera and GPGPU Processing

Authors:
Enagnon Aguénounon
Manon Schmidt
Foudil Dadouche
Wilfried Uhring
Sylvain Gioux

Keywords: hyperspectral imaging; GPGPU; C CUDA; real time; FFT

Abstract:
This paper presents a new method to get real time hyperspectral images using time modulation of light and demodulation by means of General-Purpose computing on Graphics Processing Units (GPGPU). Three different Compute Unified Device Architecture (CUDA) implementations of real time hyperspectral images demodulation are presented. These methods are compared using a numerical simulation. The results show an execution time as low as 18 µs per wavelength and per frame for the Custom-made proposed implementation for a 512x512 pixels frame.

Pages: 50 to 55

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-638-5

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018