Publications related to Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions

Variational Enhancement And Denoising Of Flow Field Images

Michaël Unser, Ricard Delgado Gonzalo, Pouya Dehghani Tafti

In this work we propose a variational reconstruction algorithm for enhancement and denoising of flow fields that is reminiscent of total-variation (TV) regularization used in image processing, but which also takes into account physical properties of flow s ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Variational Enhancement and Denoising of Flow Field Images

Michaël Unser, Ricard Delgado Gonzalo, Pouya Dehghani Tafti

In this work we propose a variational reconstruction algorithm for enhancement and denoising of flow fields that is reminiscent of total-variation (TV) regularization used in image processing, but which also takes into account physical properties of flow s ...

IEEE2011

An optimal first-order solver for the TV-$L_1$ optical flow problem

Pierre Vandergheynst, Gilles Puy, Emmanuel D'Angelo

In this study, we address the problem of computing efficiently a dense optical flow between two images under a total variation (TV) regularization and an

L_1

norm data fidelity constraint using a variational method. We build upon Nesterov's framework for ...

2010

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

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

Iterative Demosaicking Accelerated: Theory and Fast Noniterative Implementations

Martin Vetterli, Yue Lu, Mina Karzand

Color image demosaicking is a key process in the digital imaging pipeline. In this paper, we present a rigorous treatment of a classical demosaicking algorithm based on alternating projections (AP). Since its publication, the AP algorithm has been widely c ...

2009

Phase-sensitive Fourier space imaging of optical Bloch modes

Romuald Houdré, Nicolas Le Thomas

We present a phase-shifting holography method in k space that allows us to investigate the phase and amplitude of optical Bloch waves. The method is based on a Fourier space imaging technique combined with a Mach-Zehnder interferometer. Using a W3 photonic ...

2008

Method for displaying field of brain of patient during brain surgery involves determining output image from analysis image values and displaying output image

Theo Lasser, Marcel Leutenegger, Antonio Lopez, Erica Martin-Williams

NOVELTY - The display method involves evaluating the sequence of images by: associating a first analysis image value to pixels in the first sequence of images to which pixels of same locations of the field (11) are imaged, respectively; associating a secon ...

2008

Results on Range Image Segmentation for Service Robots

Roland Siegwart

This paper presents an experimental evaluation of a plane extraction method using various line extraction algorithms. Four different algorithms are chosen, which are well known in mobile robotics and computer vision. Experiments are performed on two sets o ...

2006

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Shah functional. The core of our model is an energy functional composed by thre ...

Springer, Kluwer Academic Publishers2006

Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions

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Variational Enhancement And Denoising Of Flow Field Images

Variational Enhancement and Denoising of Flow Field Images

An optimal first-order solver for the TV-$L_1$ optical flow problem

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

Robust single-view geometry and motion reconstruction

Iterative Demosaicking Accelerated: Theory and Fast Noniterative Implementations

Phase-sensitive Fourier space imaging of optical Bloch modes

Method for displaying field of brain of patient during brain surgery involves determining output image from analysis image values and displaying output image

Results on Range Image Segmentation for Service Robots

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

Phase-sensitive Fourier space imaging of optical Bloch modes

Variational Enhancement And Denoising Of Flow Field Images

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

Robust single-view geometry and motion reconstruction

Variational Enhancement and Denoising of Flow Field Images

An optimal first-order solver for the TV-$L_1$ optical flow problem

Iterative Demosaicking Accelerated: Theory and Fast Noniterative Implementations

Results on Range Image Segmentation for Service Robots

Method for displaying field of brain of patient during brain surgery involves determining output image from analysis image values and displaying output image

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional