Publications related to Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Rolf Gruetter, Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques, João Pedro Forjaco Jorge, Olivier Benoit Thomas Reynaud

Physiological noise often dominates the blood-oxygen level-dependent (BOLD) signal fluctuations in high-field functional MRI (fMRI) data. Therefore, to optimize fMRI protocols, it becomes crucial to investigate how physiological signal fluctuations impact ...

Wiley-Blackwell2017

A method for reducing noise in measurements taken by a distributed sensor

Marcelo Alfonso Soto Hernandez

According to the present invention there is provided a method of sensing comprising the steps of, (a) acquiring plurality of measurement values using a distributed optical fibre sensor; (b) arranging the plurality of measurement values in a matrix having a ...

2016

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

Quantum rectifier in a one-dimensional photonic channel

By using a fully quantum approach based on an input-output formulation of the stochastic Schrodinger equation, we show rectification of radiation fields in a one-dimensional waveguide doped with a pair of ideal two-level systems for three topical cases: cl ...

Amer Physical Soc2016

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Pramod Rastogi, Rishikesh Dilip Kulkarni

We propose a new approach for the denoising of a phase fringe pattern recorded in an optical interferometric setup. The phase fringe pattern which is generally corrupted by high amount of speckle noise is first converted into an exponential phase field. Th ...

2016

Predicting the intrusiveness of noise through sparse coding with auditory kernels

Hervé Bourlard, Raphaël Marc Ullmann

This paper presents a novel approach to predicting the intrusiveness of background noises in speech signals as it is perceived by human listeners. This problem is of particular interest in telephony, where the recently widened range of transmitted audio fr ...

2016

Demonstration of optical multicasting using Kerr frequency comb lines

Tobias Kippenberg, Maxim Karpov, Martin Hubert Peter Pfeiffer, Arne Kordts, Yan Yan, Zhe Zhao, Long Li, Lin Zhang, Amirhossein Mohajerin Ariaei

We experimentally demonstrate optical multicasting using Kerr frequency combs generated from a Si3N4 microresonator. We obtain Kerr combs in two states with different noise properties by varying the pump wavelength in the resonator and investigate the effe ...

Optical Society of America2016

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

Recent techniques open new perspectives for distributed fiber sensing. Pulse coding and multi-dimensional denoising methods result in a >10 dB noise reduction with minor modifications of the experimental layout. ...

OSA2016

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Volkan Cevher, Jonathan Mark Scarlett

Linear sketching is a powerful tool for the problem of sparse signal recovery, having numerous applications such as compressive sensing, data stream computing, graph sketching, and routing. Motivated by applications where the \emph{positions} of the non-ze ...

2016

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

Non-local means image denoising method is optimized to boost the performance of Brillouin distributed fiber sensors. Results demonstrate ultra-long sensing over a 200-km fiber-loop with 2m resolution using a sensing scheme without any hardware sophisticati ...

OSA2016

Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning

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Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Quantum rectifier in a one-dimensional photonic channel

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Predicting the intrusiveness of noise through sparse coding with auditory kernels

Demonstration of optical multicasting using Kerr frequency comb lines

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising

Quantum rectifier in a one-dimensional photonic channel

Predicting the intrusiveness of noise through sparse coding with auditory kernels

A method for reducing noise in measurements taken by a distributed sensor

Patch-wise denoising of phase fringe patterns based on matrix enhancement

Influence of physiological noise on accelerated 2D and 3D resting state functional MRI data at 7 T

Demonstration of optical multicasting using Kerr frequency comb lines

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices

Novel Concepts and Recent Progress in Distributed Optical Fiber Sensing

200 km Fiber-Loop Conventional Brillouin Distributed Sensor with 2m Spatial Resolution Using Image Denoising