Publications related to Noise Reduction by Fuzzy Image Filtering

Image and video denoising for distributed optical fibre sensors

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

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 si ...

Ieee2017

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

Ultra Low Noise CMOS Image Sensors

Assim Boukhayma

CMOS Image Sensors (CIS) overtook the charge coupled devices (CCDs) in low noise performance. Photoelectron counting capability is the next step for CIS for ultimate low light performance and new imaging paradigms. This work presents a review of CMOS image ...

EPFL2016

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

How does one compute the noise power to simulate real and complex GNSS signals?

Cyril Botteron, Jérôme Leclère

Simulation of GNSS signals is very important to test and validate algorithms. With some algorithms, such as acquisition or tracking, we do not need to simulate a realistic constellation with actual ranges, Doppler or navigation data. We can simply simulate ...

2016

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

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

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Vassily Hatzimanikatis, Julien Racle, Adam Stefaniuk

Noise in genetic networks has been the subject of extensive experimental and computational studies. However, very few of these studies have considered noise properties using mechanistic models that account for the discrete movement of ribosomes and RNA pol ...

Amer Inst Physics2015

A noise reduction circuit technique for CMOS terahertz imaging

Christian Enz, Assim Boukhayma

This paper presents a noise reduction technique for Terahertz imaging based on modulating the THz source in order to transpose the signal at the output of the rectifier at a higher frequency where there is no 1/f noise and then filtering with a high Q band ...

IEEE2015

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Alessandro Daducci, Lester Melie Garcia

Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assume a zero-mean Gaussian distribution for the underlying noise, its real distr ...

Public Library of Science2015

Noise Reduction by Fuzzy Image Filtering

Graph Chatbot

Chat with Graph Search

Image and video denoising for distributed optical fibre sensors

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

Ultra Low Noise CMOS Image Sensors

Sampling and Reconstruction of Shapes with Algebraic Boundaries

How does one compute the noise power to simulate real and complex GNSS signals?

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

Demonstration of optical multicasting using Kerr frequency comb lines

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

A noise reduction circuit technique for CMOS terahertz imaging

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

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

Image and video denoising for distributed optical fibre sensors

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

Ultra Low Noise CMOS Image Sensors

How does one compute the noise power to simulate real and complex GNSS signals?

Demonstration of optical multicasting using Kerr frequency comb lines

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

A noise reduction circuit technique for CMOS terahertz imaging

Sampling and Reconstruction of Shapes with Algebraic Boundaries