Publications related to Robust joint reconstruction of misaligned images using semi-parametric dictionaries

Covering Cubes and the Closest Vector Problem

Friedrich Eisenbrand, Martin Niemeier, Nicolai Hähnle

We provide the currently fastest randomized (1+epsilon)-approximation algorithm for the closest vector problem in the infinity-norm. The running time of our method depends on the dimension n and the approximation guarantee epsilon by 2^(O(n))(log(1/epsilon ...

Acm Order Department, P O Box 64145, Baltimore, Md 21264 Usa2011

Robust Ultrasound Travel-time Tomography Using the Bent Ray Model

Martin Vetterli, Olivier Roy, Ali Hormati, Ivana Jovanovic

We present a bent ray reconstruction algorithm for an ultrasound tomography (UT) scanner designed for breast screening. The scanner consists of a circular array of transmitters and receivers which encloses the object to be imaged. By solving a nonlinear sy ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2010

Assessment of the Computational Performances of the Semi-Analytical Method (SAM) for Computing 2-D Current distributions in Superconductors

Frédéric Sirois, François Roy, Bertrand Dutoit

The semi-analytical method (SAM) is a fast integral technique for solving small 2-D, time-transient electromagnetic problems in high temperature superconductors (HTS) with transport current and/or applied field. The method in itself is a generalization of ...

2009

Submicrometer tomography of cells by multiple-wavelength digital holographic microscopy in reflection

Christian Depeursinge, Tristan Colomb, Frédéric Montfort, Nicolas Pavillon, Benjamin Rappaz, Pierre Marquet, Jonas Kühn, Corinne Moratal

We present first results on a method enabling mechanical scanning-free tomography with submicrometer axial resolution by multiple-wavelength digital holographic microscopy. By sequentially acquiring reflection holograms and summing 20 wavefronts equally sp ...

2009

Robust single-view geometry and motion reconstruction

Mark Pauly, Hao Li

We present a framework and algorithms for robust geometry and motion reconstruction of complex deforming shapes. Our method makes use of a smooth template that provides a crude approximation of the scanned object and serves as a geometric and topological p ...

2009

An algorithm for the recovery of disrupted airline schedules

Michel Bierlaire, Matteo Salani, Niklaus Eggenberg

We consider the recovery of an airline schedule after an unpredicted event, commonly called disruption, that makes the planned schedule unfeasible. In particular we consider the aircraft recovery problem for a heterogeneous fleet of aircrafts, made of regu ...

2008

Some remarks on the uniformizing function in genus 2

Robert Silhol

The authors propose a numerical method for the uniformization of Riemann surfaces and algebraic curves in genus two with highly accurate results. Let

G

be a Fuchsian group acting on the unit disk

Bbb D

, and let

S = Bbb D / G

. It is well known that $S ...

Kluwer Academic Publishers, Springer2005

Image compression with learnt tree-structured dictionaries

Pierre Vandergheynst, Gianluca Monaci, Philippe Jost

In the present paper we propose a new framework for the construction of meaningful dictionaries for sparse representation of signals. The dictionary approach to coding and compression proves very attractive since decomposing a signal over a redundant set o ...

2004

Motion Analysis of Echocardiograms Using a Local-Affine, Spatio-Temporal Model

Michaël Unser, Michael Sühling, Muthuvel Arigovindan

We present a new method for estimating heart motion from two-dimensional (2D) echocardiographic sequences. It is inspired by the Lucas-Kanade algorithm for optical flow which estimates motion parameters over a sliding window. However, instead of assuming t ...

IEEE2002

Least-Squares Image Resizing Using Finite Differences

Michaël Unser, Thierry Blu

We present an optimal spline-based algorithm for the enlargement or reduction of digital images with arbitrary (noninteger) scaling factors. This projection-based approach can be realized thanks to a new finite difference method that allows the computation ...

IEEE2001

Robust joint reconstruction of misaligned images using semi-parametric dictionaries

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Covering Cubes and the Closest Vector Problem

Robust Ultrasound Travel-time Tomography Using the Bent Ray Model

Assessment of the Computational Performances of the Semi-Analytical Method (SAM) for Computing 2-D Current distributions in Superconductors

Submicrometer tomography of cells by multiple-wavelength digital holographic microscopy in reflection

Robust single-view geometry and motion reconstruction

An algorithm for the recovery of disrupted airline schedules

Some remarks on the uniformizing function in genus 2

Image compression with learnt tree-structured dictionaries

Motion Analysis of Echocardiograms Using a Local-Affine, Spatio-Temporal Model

Least-Squares Image Resizing Using Finite Differences

Assessment of the Computational Performances of the Semi-Analytical Method (SAM) for Computing 2-D Current distributions in Superconductors

Robust Ultrasound Travel-time Tomography Using the Bent Ray Model

An algorithm for the recovery of disrupted airline schedules

Robust single-view geometry and motion reconstruction

Some remarks on the uniformizing function in genus 2

Image compression with learnt tree-structured dictionaries

Motion Analysis of Echocardiograms Using a Local-Affine, Spatio-Temporal Model

Least-Squares Image Resizing Using Finite Differences

Covering Cubes and the Closest Vector Problem

Submicrometer tomography of cells by multiple-wavelength digital holographic microscopy in reflection