We present a new approach to the problems of Fourier synthesis in the experimental context of aperture synthesis. Depending on what is emphasized, this method is called FIRST or WIPE:FIRST for the principles (Fourier Interpolation and Reconstruction via Shannon-type Techniques), and WIPE for the corresponding deconvolution method (WIPE reminds of CLEAN, a well-known deconvolution technique in astronomy). The regularization principle of FIRST refers to the Shannon sampling formula and to theoretical considerations related to multiresolution analysis. To describe the imaging kernel of FIRST (WIPE), the authors adopt a terminology derived from that of CLEAN. At each iteration of the selected constructive process (conjugate gradients for exampl...
This work deals with the ill-posed inverse problem of reconstructing a two-dimensional image of an u...
The paper deals with the construction of images from visibilities acquired using aperture synthesis ...
We study the problem of recovering an unknown compactly-supported multivariate function from samples...
In this series of papers, we present a new approach to the problems of Fourier synthesis in finite d...
In the inverse problems of Fourier synthesis encoutered in aperture synthesis, the data are complex ...
The analysis of the imaging properties of an interferometric device essentially depends on the param...
In many scientific frameworks (e.g., radio and high energy astronomy, medical imaging) the data at o...
In this paper we address the problem of reconstructing a two-dimensional image starting from the kn...
The aim of this paper is to develop a new optimization algorithm for the restoration of an image sta...
Theoretical and practical aspects of solving the Fourier phase problem are presented. Reconstructi...
The aim of this paper is to develop a new optimization algorithm for the restoration of an image sta...
This work deals with the ill-posed inverse problem of reconstructing a two-dimensional image of an u...
A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-s...
When simulating sky images, one often takes a galaxy image F (x) defined by a set of pixelized sampl...
This paper deals with image restoration problems where the data are nonuniform samples of the Fourie...
This work deals with the ill-posed inverse problem of reconstructing a two-dimensional image of an u...
The paper deals with the construction of images from visibilities acquired using aperture synthesis ...
We study the problem of recovering an unknown compactly-supported multivariate function from samples...
In this series of papers, we present a new approach to the problems of Fourier synthesis in finite d...
In the inverse problems of Fourier synthesis encoutered in aperture synthesis, the data are complex ...
The analysis of the imaging properties of an interferometric device essentially depends on the param...
In many scientific frameworks (e.g., radio and high energy astronomy, medical imaging) the data at o...
In this paper we address the problem of reconstructing a two-dimensional image starting from the kn...
The aim of this paper is to develop a new optimization algorithm for the restoration of an image sta...
Theoretical and practical aspects of solving the Fourier phase problem are presented. Reconstructi...
The aim of this paper is to develop a new optimization algorithm for the restoration of an image sta...
This work deals with the ill-posed inverse problem of reconstructing a two-dimensional image of an u...
A new algorithm is developed to jointly recover a temporal sequence of images from noisy and under-s...
When simulating sky images, one often takes a galaxy image F (x) defined by a set of pixelized sampl...
This paper deals with image restoration problems where the data are nonuniform samples of the Fourie...
This work deals with the ill-posed inverse problem of reconstructing a two-dimensional image of an u...
The paper deals with the construction of images from visibilities acquired using aperture synthesis ...
We study the problem of recovering an unknown compactly-supported multivariate function from samples...