Publications related to TV-Regularized Generation of Planar Images from Omnicams

Smoothing technique for nonsmooth composite minimization with linear operator

We introduce and analyze an algorithm for the minimization of convex functions that are the sum of differentiable terms and proximable terms composed with linear operators. The method builds upon the recently developed smoothed gap technique. In addition t ...

2017

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Matthieu Martin Jean-André Simeoni

Estimating intensity fields of stochastic phenomenons is of crucial interest in many scientific applications. Typical experimental setups involve an acquisition system, that subsequently filters and samples the probed intensity field. This equivalently def ...

2016

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times

Satoshi Takahama, Robin Lewis Modini

The composition and properties of atmospheric organic aerosols (OAs) change on timescales of minutes to hours. However, some important OA characterization techniques typically require greater than a few hours of sample-collection time (e.g., Fourier transf ...

Copernicus GmbH2016

Algorithms for reconstructing geometries from echoes

Fan Zhang

We have recently witnessed the appearance of algorithms that can reconstruct a room’s geometry from echoes, as well as algorithms that use echoes to localize many microphones. This project will consist in implementing a framework for microphone localizatio ...

2016

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Joachim Krieger

For the radial energy-supercritical nonlinear wave equation

\Box u = -u_{tt} + \triangle u = \pm u^7

on

\R^{3+1}

, we prove the existence of a class of global in forward time

C^\infty

-smooth solutions with infinite critical Sobolev norm $\dot{H}^{\f ...

Springer Verlag2014

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Michaël Unser, Stamatios Lefkimmiatis

Poisson inverse problems arise in many modern imaging applications, including biomedical and astronomical ones. The main challenge is to obtain an estimate of the underlying image from a set of measurements degraded by a linear operator and further corrupt ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes

Michaël Unser, Arash Amini, Emrah Bostan, Ulugbek Kamilov

We consider continuous-time sparse stochastic processes from which we have only a finite number of noisy/noiseless samples. Our goal is to estimate the noiseless samples (denoising) and the signal in-between (interpolation problem). By relying on tools fro ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

Michaël Unser, John Paul Ward, Aurélien Bourquard, Hagay Kirshner

In this work, we propose a continuous-domain stochastic model that can be applied to image data. This model is autoregressive, and accounts for Gaussian-type as well as for non-Gaussian-type innovations. In order to estimate the corresponding parameters fr ...

IEEE2013

The dilaton Wess-Zumino action in higher dimensions

Boaz Keren Zur, Florent Baume

We present a general formula for the Wess-Zumino action associated with the Weyl anomaly, given in a curved background for any even number of dimensions. The result is obtained by considering a finite Weyl transformation of counterterms in dimensional regu ...

Springer2013

GPU Prefilter for Accurate Cubic B-spline Interpolation

Philippe Thévenaz

Achieving accurate interpolation is an important requirement for many signal-processing applications. While nearest-neighbor and linear interpolation methods are popular due to their native GPU support, they unfortunately result in severe undesirable artif ...

Oxford University Press2012

TV-Regularized Generation of Planar Images from Omnicams

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Smoothing technique for nonsmooth composite minimization with linear operator

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times

Algorithms for reconstructing geometries from echoes

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

The dilaton Wess-Zumino action in higher dimensions

GPU Prefilter for Accurate Cubic B-spline Interpolation

Attributing Aliasing Artifacts in Dirty Intensity Fields to their Parent Source

Sampling strategies and post-processing methods for increasing the time resolution of organic aerosol measurements requiring long sample-collection times

GPU Prefilter for Accurate Cubic B-spline Interpolation

Algorithms for reconstructing geometries from echoes

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

The dilaton Wess-Zumino action in higher dimensions

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Smoothing technique for nonsmooth composite minimization with linear operator