Publications related to Image and video denoising for distributed optical fibre sensors

Enhanced Signal-Associated Noise in a φ-OTDR System

Luc Thévenaz, Malak Mohamed Hossameldeen Omar Mohamed Galal, Suneetha Sebastian

Owing to their high sensitivity with respect to external measurands, Rayleigh-based distributed optical fiber sensors (DOFS) find their way into applications in many industrial and academic sectors. To further transcend the limit of these sensors in terms ...

2022

Evaluating measurement uncertainty in Brillouin distributed optical fibre sensors using image denoising

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Simon Adrien Zaslawski

In 2016, our research team proposed in an issue of Nature Communications1 the use of multidimensional signal processing, especially image denoising techniques, to improve the signal-to-noise ratio (SNR) of distributed optical ﬁbre sensors. The beneﬁts of t ...

2021

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Sabine Süsstrunk, Majed El Helou

Blind and universal image denoising consists of using a unique model that denoises images with any level of noise. It is especially practical as noise levels do not need to be known when the model is developed or at test time. We propose a theoretically-gr ...

IEEE2020

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski

The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...

2020

High Signal-to-Noise Ratio Stimulated Brillouin Scattering Gain Spectrum Measurement

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Kenny Hey Tow, Flavien Gyger

A technique to measure nonlinear processes, such as stimulated Brillouin scattering, with a very-high signal-to-noise ratio (SNR) is presented. Brillouin gain measurement with 77dB SNR is demonstrated over a 2m-long section of single-mode fiber. ...

Optical Society of America2018

An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping

José Pedro Rebelo Ferreira Marques, Diana Khabipova

Phase imaging benefits from strong susceptibility effects at very high field and the high signal-to-noise ratio (SNR) afforded by multi-channel coils. Combining the information from coils is not trivial, however, as the phase that originates in local field ...

Wiley2017

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms

Jean-Philippe Thiran, Fabian Braun, Martin Proença

Electrical impedance tomography (EIT) is an emerging technology for real-time monitoring of patients under mechanical ventilation. EIT has the potential to offer continuous medical monitoring while being noninvasive, radiation free, and low cost. Due to th ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

Distributed optical fibre sensors possess the unique capability of measuring the spatial and temporal map of environmental quantities that can be of great interest for several field applications. Although existing methods for performance enhancement have e ...

Nature Publishing Group2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

A consensus algorithm for networks with process noise and quantization error

Colin Neil Jones, Ye Pu, Andrea Alessandretti, Francisco Fernandes Castro Rego

In this paper we address the problem of quantized consensus where process noise or external inputs corrupt the state of each agent at each iteration. We propose a quantized consensus algorithm with progressive quantization, where the quantization interval ...

IEEE2015

Image and video denoising for distributed optical fibre sensors

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Enhanced Signal-Associated Noise in a φ-OTDR System

Evaluating measurement uncertainty in Brillouin distributed optical fibre sensors using image denoising

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

High Signal-to-Noise Ratio Stimulated Brillouin Scattering Gain Spectrum Measurement

An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms

Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration

Sampling and Reconstruction of Shapes with Algebraic Boundaries

A consensus algorithm for networks with process noise and quantization error

Enhanced Signal-Associated Noise in a φ-OTDR System

Evaluating measurement uncertainty in Brillouin distributed optical fibre sensors using image denoising

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

An illustrated comparison of processing methods for MR phase imaging and QSM: combining array coil signals and phase unwrapping

Intensifying the response of distributed optical fibre sensors using 2D and 3D image restoration

High Signal-to-Noise Ratio Stimulated Brillouin Scattering Gain Spectrum Measurement

A Versatile Noise Performance Metric for Electrical Impedance Tomography Algorithms

Sampling and Reconstruction of Shapes with Algebraic Boundaries

A consensus algorithm for networks with process noise and quantization error