Publications related to Fast and automated wavelet-regularized image restoration in fluorescence microscopy

An Accurate PSF Model with Few Parameters for Axially Shift-Variant Deconvolution

Michaël Unser, Dimitri Nestor Alice Van De Ville, François Aguet

Accurate knowledge of an imaging system's point spread function (PSF) is crucial for successful deconvolution. For fluorescence microscopy, PSF estimations based on either theoretical models or experimental measurements are available. However, due to the ...

IEEE2008

A Fast Thresholded Landweber Algorithm for General Wavelet Bases: Application to 3D Deconvolution Microscopy

Michaël Unser, Cédric René Jean Vonesch

Wavelet-domain

ℓ _{ 1 }

-regularization is a promising approach to deconvolution. The corresponding variational problem can be solved using a “thresholded Landweber” (TL) algorithm. While this iterative procedure is simple to implement, it is known to ...

IEEE2008

Fast Wavelet-Regularized Image Deconvolution

Michaël Unser, Cédric René Jean Vonesch

We present a modified version of the deconvolution algorithm introduced by Figueiredo and Nowak, which leads to a substantial acceleration. The algorithm essentially consists in alternating between a Landweber-type iteration and a wavelet-domain denoising ...

IEEE2007

A Fast Iterative Thresholding Algorithm for Wavelet-Regularized Deconvolution

Michaël Unser, Cédric René Jean Vonesch

We present an iterative deconvolution algorithm that minimizes a functional with a non-quadratic wavelet-domain regularization term. Our approach is to introduce subband-dependent parameters into the bound optimization framework of Daubechies et al.; it is ...

SPIE2007

Distributed sensing of noisy signals by thresholding of redundant expansions

Pascal Frossard, Pierre Vandergheynst, Karin Schnass

This paper addresses the problem of sensing or recovering a signal s, captured by distributed low-complexity sensors. Each sensor observes a noisy version of the signal of interest, and independently forms an approximant of its observation. This approximan ...

2006

The Colored Revolution of Bioimaging

Michaël Unser, Cédric René Jean Vonesch, François Aguet

With the recent development of fluorescent probes and new high-resolution microscopes, biological imaging has entered a new era and is presently having a profound impact on the way research is being conducted in the life sciences. Biologists have come to d ...

IEEE2006

Switching Linear Dynamical Systems for Noise Robust Speech Recognition

Bertrand Mesot

Real world applications such as hands-free speech recognition of isolated digits may have to deal with potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based HMMs, with a preprocessing stage to clean the ...

IDIAP2006

Image super-resolution with B-Spline kernels

Loïc Arnaud Baboulaz, Pier Luigi Dragotti

A novel approach to image super-resolution is described in this paper. By modeling our image acquisition system with a Spline sampling kernel, we are able to retrieve from the samples some statistical information about the observed continuous scene before ...

2006

VLSI implementation of MIMO detection using the sphere decoding algorithm

Andreas Peter Burg, Matthieu Philippe Emmanuel Zellweger

Multiple-input multiple-output (MIMO) techniques are a key enabling technology for high-rate wireless communications. This paper discusses two ASIC implementations of MIMO sphere decoders. The first ASIC attains maximum-likelihood performance with an avera ...

2005

Efficient Kalman Smoothing for Harmonic State-Space Models

Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as

O(TH^2)

where

H

is twice the number of frequencies in the model and

T

is the length of the time-series. Due to th ...

IDIAP2005

Fast and automated wavelet-regularized image restoration in fluorescence microscopy

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An Accurate PSF Model with Few Parameters for Axially Shift-Variant Deconvolution

A Fast Thresholded Landweber Algorithm for General Wavelet Bases: Application to 3D Deconvolution Microscopy

Fast Wavelet-Regularized Image Deconvolution

A Fast Iterative Thresholding Algorithm for Wavelet-Regularized Deconvolution

Distributed sensing of noisy signals by thresholding of redundant expansions

The Colored Revolution of Bioimaging

Switching Linear Dynamical Systems for Noise Robust Speech Recognition

Image super-resolution with B-Spline kernels

VLSI implementation of MIMO detection using the sphere decoding algorithm

Efficient Kalman Smoothing for Harmonic State-Space Models

The Colored Revolution of Bioimaging

An Accurate PSF Model with Few Parameters for Axially Shift-Variant Deconvolution

Fast Wavelet-Regularized Image Deconvolution

A Fast Iterative Thresholding Algorithm for Wavelet-Regularized Deconvolution

VLSI implementation of MIMO detection using the sphere decoding algorithm

Image super-resolution with B-Spline kernels

Switching Linear Dynamical Systems for Noise Robust Speech Recognition

Efficient Kalman Smoothing for Harmonic State-Space Models

Distributed sensing of noisy signals by thresholding of redundant expansions

A Fast Thresholded Landweber Algorithm for General Wavelet Bases: Application to 3D Deconvolution Microscopy