CHAUX , Caroline

We consider the problem of image restoration/reconstruction where the acquisition system is modeled by a linear operator with additive Gaussian noise. A variational approach is adopted for image inversion in order to compute a restored/reconstructed image, consisting in minimizing a convex criterion composed of two parts: a data fidelity term...

electronic version (4 pp.)

We propose in this paper an iterative algorithm for 3D confocal microcopy image restoration. The image quality is limited by the diffraction-limited nature of the optical system which causes blur and the reduced amount of light detected by the photomultiplier leading to a noise having Poisson statistics. Wavelets have proved to be very...

International audience

In this letter, the problem of nonnegative tensor decompositions is addressed. Classically, this problem is carried out using iterative (either alternating or global) deterministic optimization algorithms. Here, a rather different stochastic approach is suggested. In addition, the ever-increasing volume of data requires the development of new...