Image and video denoising for distributed optical fibre sensors

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.

[1]  Jean-Michel Morel,et al.  A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..

[2]  S. Martín-López,et al.  Extending the Real Remoteness of Long-Range Brillouin Optical Time-Domain Fiber Analyzers , 2014, Journal of Lightwave Technology.

[3]  A. Zadok,et al.  Random‐access distributed fiber sensing , 2012 .

[4]  Muhammad Sharif,et al.  A Review of Image Denoising Methods , 2015 .

[5]  L. Thévenaz,et al.  200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising , 2016 .

[6]  Luc Thévenaz,et al.  Increasing Robustness of Bipolar Pulse Coding in Brillouin Distributed Fiber Sensors References and Links Distributed Temperature Sensor System Based on Raman Scattering Using Correlation-codes, " Electron , 2022 .

[7]  M. Tur,et al.  [INVITED] State of the art of Brillouin fiber-optic distributed sensing , 2016 .

[8]  L. Thévenaz,et al.  Simplex-coded BOTDA fiber sensor with 1 m spatial resolution over a 50 km range. , 2010, Optics Letters.

[9]  Pedro Corredera,et al.  Distributed Brillouin Fiber Sensor Assisted by First-Order Raman Amplification , 2010, Journal of Lightwave Technology.

[10]  Luc Thévenaz,et al.  Going beyond 1000000 resolved points in a Brillouin distributed fiber sensor: theoretical analysis and experimental demonstration , 2016, Light: Science & Applications.

[11]  L. Thévenaz,et al.  Analytical model and experimental verification of the critical power for modulation instability in optical fibers. , 2015, Optics express.

[12]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Marcelo A. Soto,et al.  Intensifying Brillouin distributed fibre sensors using image processing , 2015, International Conference on Optical Fibre Sensors.

[14]  Luc Thévenaz,et al.  Modeling and evaluating the performance of Brillouin distributed optical fiber sensors. , 2013, Optics express.

[15]  Marcelo A. Soto,et al.  Reaching millikelvin resolution in Raman distributed temperature sensing using image processing , 2016, European Workshop on Optical Fibre Sensors.

[16]  Sébastien Le Floch,et al.  Bipolar Optical Pulse Coding for Performance Enhancement in Botda Sensors References and Links , 2022 .

[17]  Marcelo A. Soto,et al.  Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration , 2016, Nature Communications.

[18]  E. Castillo-Guerra,et al.  Reduction in the Number of Averages Required in BOTDA Sensors Using Wavelet Denoising Techniques , 2012, Journal of Lightwave Technology.

[19]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[20]  Marcelo A. Soto,et al.  Going beyond 1 000 000 resolved points in a Brillouin distributed fiber sensor : theoretical analysis and experimental demonstration Supporting material , 2016 .