The method of projection onto convex sets (POCS) is used in signal reconstruction to find a function that satisfies a collection of constraints, provided each of these constraints defines a convex set. If the constraints are inconsistent then a modified method of POCS may be used to find the fixed point of the POCS operator. This problem arises in the area of signal reconstruction from noisy multiple-frequency digital holograms, where it is required to compute a signal that satisfies known data subject to the constraint that it has a finite region of support. For noisy data there may exist no such signal and hence the constraint is inconsistent with the known data. Thus a modified POCS method needs to be applied. The authors review the meth...
Photoacoustic imaging is a biomedical imaging modality capable of early cancer detection. In this pa...
The new field of research of discrete tomography will be described in this paper. It differs from st...
In this dissertation four algorithms are presented for the tomographic reconstruction of images usin...
High-resolution image reconstruction from sparse data is an important problem in sensor array imagin...
A new signal processing framework based on the projections onto convex sets (POCS) is developed for ...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
Dans cet article on utilise la méthode de projection sur les ensembles convexes (appellé FOCS) pour ...
In this paper the well-known problem of reconstructing hv-convex polyominoes is considered from a se...
Abstract. High-resolution image reconstruction from sparse data is an important problem in sensor ar...
We present in this work a new method for the tomographic reconstruction with Poisson noise corrupted...
This paper presents a procedure to reconstruct a (minimum or nonminimum phase) discrete-time signal ...
AbstractThe problem addressed is that of synthesizing a function subject to a priori moment constrai...
[[abstract]]We address the problem of recovering a CT image from partial fan-beam data and prior kno...
International audienceMany problems in medical image reconstruction and machine learning can be form...
Photoacoustic imaging is a biomedical imaging modality capable of early cancer detection. In this pa...
The new field of research of discrete tomography will be described in this paper. It differs from st...
In this dissertation four algorithms are presented for the tomographic reconstruction of images usin...
High-resolution image reconstruction from sparse data is an important problem in sensor array imagin...
A new signal processing framework based on the projections onto convex sets (POCS) is developed for ...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
[[abstract]]The method of projections onto convex sets (POCS) is a technique for restoring signals f...
Dans cet article on utilise la méthode de projection sur les ensembles convexes (appellé FOCS) pour ...
In this paper the well-known problem of reconstructing hv-convex polyominoes is considered from a se...
Abstract. High-resolution image reconstruction from sparse data is an important problem in sensor ar...
We present in this work a new method for the tomographic reconstruction with Poisson noise corrupted...
This paper presents a procedure to reconstruct a (minimum or nonminimum phase) discrete-time signal ...
AbstractThe problem addressed is that of synthesizing a function subject to a priori moment constrai...
[[abstract]]We address the problem of recovering a CT image from partial fan-beam data and prior kno...
International audienceMany problems in medical image reconstruction and machine learning can be form...
Photoacoustic imaging is a biomedical imaging modality capable of early cancer detection. In this pa...
The new field of research of discrete tomography will be described in this paper. It differs from st...
In this dissertation four algorithms are presented for the tomographic reconstruction of images usin...