Home

Person

Dimitri Nestor Alice Van De Ville

About
Privacy
Disclaimer

Graph Chatbot

Related publications (371)

Fully Reversible Image Rotation by 1-D Filtering

In this work, we propose a new image rotation algorithm. The main feature of our approach is the symmetric reversibility, which means that when using the same algorithm for the converse operation, then the initial data is recovered exactly. To that purpose ...

IEEE2008

Fast Computation of Polyharmonic B-Spline Autocorrelation Filters

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville, Yann Barbotin

A fast computational method is given for the Fourier transform of the polyharmonic B-spline autocorrelation sequence in d dimensions. The approximation error is exponentially decaying with the number of terms taken into account. The algorithm improves spee ...

IEEE Institute of Electrical and Electronics Engineers2008

Dynamic PET Reconstruction Using Wavelet Regularization with Adapted Basis Functions

Michaël Unser, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an

\ell_{ 1 }

-regularization constraint, which favors sparse solutions in the wavelet dom ...

Institute of Electrical and Electronics Engineers2008

The Monogenic Riesz-Laplace Wavelet Transform

Michaël Unser, Dimitri Nestor Alice Van De Ville, Katarina Balac

We introduce a family of real and complex wavelet bases of

L _{ 2 }

(\mathbb{R} ^{ 2 }

) that are directly linked to the Laplace and Riesz operators. The crucial point is that the family is closed with respect to the Riesz transform which maps a re ...

EURASIP2008

Wavelet-Based Multi-Resolution Statistics for Optical Imaging Signals: Application to Automated Detection of Odour Activated Glomeruli in the Mouse Olfactory Bulb

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville

Optical imaging techniques offer powerful solutions to capture brain networks processing in animals, especially when activity is distributed in functionally distinct spatial domains. Despite the progress in imaging techniques, the standard analysis procedu ...

Elsevier2007

Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

Dimitri Nestor Alice Van De Ville

The reconstruction of a continuous-domain representation from sampled data is an essential element of many image processing tasks, in particular, image resampling. Until today, most image data have been available on Cartesian lattices, despite the many the ...

IEEE2007

A New Family of Rotation-Covariant Wavelets on the Hexagonal Lattice

Dimitri Nestor Alice Van De Ville

We present multiresolution spaces of complex rotation-covariant functions, deployed on the 2-D hexagonal lattice. The designed wavelets, which are complex-valued, provide an important phase information for image analysis, which is missing in the discrete w ...

SPIE2007

WSPM: Wavelet-Based Statistical Parametric Mapping

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville

Recently, we have introduced an integrated framework that combines wavelet-based processing with statistical testing in the spatial domain. In this paper, we propose two important enhancements of the framework. First, we revisit the underlying paradigm; i. ...

Elsevier2007

$ H _{ 2 } $ O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Dimitri Nestor Alice Van De Ville

In this work, we propose a new grid conversion algorithm between the hexagonal lattice and the orthogonal (a.k.a. Cartesian) lattice. The conversion process, named

H _{ 2 }

O, is easy to implement and is perfectly reversible using the same algorithm to ...

IEEE2007

Sub-resolution maximum-likelihood based localization of fluorescent nanoparticles in three dimensions

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

Several recent studies have shown that fluorescent particles can be localized with an accuracy that is well beyond traditional resolution limits. Using a theoretical model of the image formation process that accounts for possible sources of noise, Cramer-R ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Wavelet-Based Statistical Analysis for Optical Imaging in Mouse Olfactory Bulb

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville

Optical imaging is a powerful technique to map brain function in animals. In this study, we consider in vivo optical imaging of the murine olfactory bulb, using an intrinsic signal and a genetically expressed activity reporter fluorescent protein (synaptop ...

IEEE2007

Reconstruction of Dynamic PET Data Using Spatio-Temporal Wavelet $ ℓ _{ 1 } $ Regularization

Michaël Unser, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

IEEE2007

BSLIM: Spectral Localization by Imaging with Explicit $ B _{ 0 } $ Field Inhomogeneity Compensation

Michaël Unser, Mathews Jacob, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

Magnetic resonance spectroscopy imaging (MRSI) is an attractive tool for medical imaging. However, its practical use is often limited by the intrinsic low spatial resolution and long acquisition time. Spectral localization by imaging (SLIM) has been propos ...

Institute of Electrical and Electronics Engineers2007

Wavelet-Based Detection of Stimulus Responses in Time-Lapse Microscopy

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville, Riccardo Accolla

Many experimental paradigms in biology aim at studying the response to coordinated stimuli. In dynamic imaging experiments, the observed data is often not straightforward to interpret and not directly measurable in a quantitative fashion. Consequently, the ...

IEEE2006

WSPM or How to Obtain Statistical Parametric Maps Using Shift-Invariant Wavelet Processing

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville

Recently, we have proposed a new framework for detecting brain activity from fMRI data, which is based on the spatial discrete wavelet transform. The standard wavelet-based approach performs a statistical test in the wavelet domain, and therefore fails to ...

IEEE2006

Surfing the Brain—An Overview of Wavelet-Based Techniques for fMRI Data Analysis

Michaël Unser, Thierry Blu, Dimitri Nestor Alice Van De Ville

The measurement of brain activity in a noninvasive way is an essential element in modern neurosciences. Modalities such as electroencephalography (EEG) and magnetoencephalography (MEG) recently gained interest, but two classical techniques remain predomina ...

Institute of Electrical and Electronics Engineers2006

Improved MRSI with Field Inhomogeneity Compensation

Michaël Unser, Mathews Jacob, Dimitri Nestor Alice Van De Ville, Ildar Khalidov

Magnetic resonance spectroscopy imaging (MRSI) is a promising and developing tool in medical imaging. Because of various difficulties imposed by the imperfections of the scanner and the reconstruction algorithms, its applicability in clinical practice is r ...

SPIE2006

Efficient Reconstruction of Hexagonally Sampled Data Using Three-Directional Box-Splines

Michaël Unser, Dimitri Nestor Alice Van De Ville

Three-directional box-splines are particularly well-suited to interpolate and approximate hexagonally sampled data. In this paper, we propose a computationally efficient end-to-end reconstruction process. First, we introduce a prefiltering step that is bas ...

IEEE2006

Non-Ideal Sampling and Adapted Reconstruction Using the Stochastic Matérn Model

Michaël Unser, Dimitri Nestor Alice Van De Ville, Sathish Ramani

The Matérn class is a parametric family of autocorrelation functions that is commonly used in geostatistics. We argue that a generalized, anisotropic version of this model is suitable for capturing the correlation structure of a variety of natural images. ...

IEEE2006

Three-Directional Box-Splines: Characterization and Efficient Evaluation

Dimitri Nestor Alice Van De Ville

IEEE Institute of Electrical and Electronics Engineers2006

Page 18 of 19