Image and video denoising for distributed optical fibre sensors

Marcelo A. Soto; Jaime A. Ramírez; Luc Thévenaz

doi:10.1117/12.2272470

23 April 2017 Image and video denoising for distributed optical fibre sensors

Marcelo A. Soto, Jaime A. Ramírez, Luc Thévenaz

Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103230K (2017) https://doi.org/10.1117/12.2272470
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of

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.

Citation Download Citation

Marcelo A. Soto, Jaime A. Ramírez, and Luc Thévenaz "Image and video denoising for distributed optical fibre sensors", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103230K (23 April 2017); https://doi.org/10.1117/12.2272470

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