Proceedings Paper
Image and video denoising for distributed optical fibre sensors| Format | Member Price | Non-Member Price |
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Paper Abstract
A technique based on a multi-dimensional signal processing approach is here described for performance enhancement of distributed optical fibre sensors. In particular, the main features of linear and nonlinear image denoising techniques are described for signal-to-noise ratio enhancement in Brillouin optical time-domain analysers. Experimental results demonstrate the possibility to enhance the performance of distributed Brillouin sensors by more than 13 dB using a nonlinear image denoising approach, while more than 20 dB enhancement can be obtained with video denoising.
Paper Details
Date Published: 23 April 2017
PDF: 4 pages
Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103230K (23 April 2017); doi: 10.1117/12.2272470
Published in SPIE Proceedings Vol. 10323:
25th International Conference on Optical Fiber Sensors
Youngjoo Chung; Wei Jin; Byoungho Lee; John Canning; Kentaro Nakamura; Libo Yuan, Editor(s)
PDF: 4 pages
Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103230K (23 April 2017); doi: 10.1117/12.2272470
Show Author Affiliations
Marcelo A. Soto, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Jaime A. Ramírez, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Jaime A. Ramírez, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Luc Thévenaz, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Published in SPIE Proceedings Vol. 10323:
25th International Conference on Optical Fiber Sensors
Youngjoo Chung; Wei Jin; Byoungho Lee; John Canning; Kentaro Nakamura; Libo Yuan, Editor(s)
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