Efficient image restoration for active mosaic imaging
Résumé
In this paper, we focus on the restoration of images in mosaic active imaging. This emerging imaging technique consists in acquiring a mosaic of images (laser shots) by focusing a laser beam on a small portion of the target object and subsequently moving it to scan the whole field of view. In order to restore the whole image from such a mosaic, a prior work proposed a simplified forward model assuming a prior on the distribution of images and the acquisition parameters as well as an algorithm alternating between the estimation of the restored image and the estimation of these parameters. The novelty of this paper is twofold: (i) we show that the results obtained from this earlier work can be improved when the laser shots are closer to each others and (ii) that faster convergence can be achieved for estimating the acquisition parameters.
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