Name
Title | ||
|---|---|---|
Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels |
Abstract | ||
|---|---|---|
This article introduces and explores a class of degradation models in which an image is blurred by a noisy (stochastic) point spread function (PSF). The aim is to restore a sharper and cleaner image from the degraded one. Due to the highly ill-posed nature of the problem, we propose to recover the image given a sequence of several observed degraded images or multiframes. Thus we adopt the idea of the multiframe approach introduced for image super-resolution, which reduces distortions appearing in the degraded images. Moreover, we formulate variational minimization problems with the robust (local or nonlocal) L^1 edge-preserving regularizing energy functionals, unlike prior works dealing with stochastic point spread functions. Several experimental results on grey-scale/color images and on real static video data are shown, illustrating that the proposed methods produce satisfactory results. We also apply the degradation model to a segmentation problem with simultaneous image restoration. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.cam.2012.07.009 | J. Computational Applied Mathematics |
Keywords | Field | DocType |
point spread function,image super-resolution,simultaneous image restoration,stochastic point spread function,color image,degraded image,blur kernel,observed degraded image,segmentation problem,degradation model,variational multiframe restoration,cleaner image,total variation,image restoration | Mathematical optimization,Segmentation,Variational model,Minification,Image restoration,Point spread function,Mathematics | Journal |
Volume | ISSN | Citations |
240, | 0377-0427 | 5 |
PageRank | References | Authors |
0.41 | 29 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miyoun Jung | 1 | 125 | 10.72 |
| Antonio Marquina | 2 | 431 | 45.30 |
| Luminita A. Vese | 3 | 5389 | 302.64 |