International audienceThis paper provides a general introduction to the problem of image reconstruction from interferometric data. A simple model of the interferometric observables is given, and the issues arising from sparse Fourier data are discussed. The effects of various regularizations are described. In the proposed general framework, most existing algorithms can be understood. For an astronomer, such an understanding is crucial not only for selecting and using an algorithm but also to ensure correct interpretation of the resulting image
International audienceInverse problem approach is a suitable framework to analyze the challenging is...
ge which is superior in some way (e.g. has higher resolution or has reduced distortion). In the case...
The problem of image reconstruction in radio interferometry is traditionally solved through the appl...
International audienceThis paper provides a general introduction to the problem of image reconstruct...
This tutorial paper describes the problem of image reconstruction from interferometric data with a p...
Image reconstruction from interferometric data is an inverse problem. Owing to the sparse spatial fr...
accepted for publication in IEEE Signal Processing MagazineThis tutorial paper describes the problem...
accepted for publication in IEEE Signal Processing MagazineThis tutorial paper describes the problem...
International audienceMany image reconstruction algorithms have been proposed to cope with optical/I...
International audienceMany image reconstruction algorithms have been proposed to cope with optical/I...
Received; accepted Context. With the advent of visible and infrared long-baseline interferometers wi...
Context. With the advent of visible and infrared long-baseline interferometers with more t...
Optical interferometry is a technique for obtaining high-resolution imagery of a distant target by i...
Context. With the advent of visible and infrared long-baseline interferometers with more t...
International audienceInverse problem approach is a suitable framework to analyze the challenging is...
International audienceInverse problem approach is a suitable framework to analyze the challenging is...
ge which is superior in some way (e.g. has higher resolution or has reduced distortion). In the case...
The problem of image reconstruction in radio interferometry is traditionally solved through the appl...
International audienceThis paper provides a general introduction to the problem of image reconstruct...
This tutorial paper describes the problem of image reconstruction from interferometric data with a p...
Image reconstruction from interferometric data is an inverse problem. Owing to the sparse spatial fr...
accepted for publication in IEEE Signal Processing MagazineThis tutorial paper describes the problem...
accepted for publication in IEEE Signal Processing MagazineThis tutorial paper describes the problem...
International audienceMany image reconstruction algorithms have been proposed to cope with optical/I...
International audienceMany image reconstruction algorithms have been proposed to cope with optical/I...
Received; accepted Context. With the advent of visible and infrared long-baseline interferometers wi...
Context. With the advent of visible and infrared long-baseline interferometers with more t...
Optical interferometry is a technique for obtaining high-resolution imagery of a distant target by i...
Context. With the advent of visible and infrared long-baseline interferometers with more t...
International audienceInverse problem approach is a suitable framework to analyze the challenging is...
International audienceInverse problem approach is a suitable framework to analyze the challenging is...
ge which is superior in some way (e.g. has higher resolution or has reduced distortion). In the case...
The problem of image reconstruction in radio interferometry is traditionally solved through the appl...