Title
Numerical study of an optimization problem for mosaic active imaging
Abstract
In this paper, we focus on the restoration of an image 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. To restore the whole image from such a mosaic, a prior work proposed a simplified forward model describing the acquisition process. It also provides a prior on the acquisition parameters. Together with a prior on the distribution of images, this leads to a MAP estimate alternating between the estimation of the restored image and the estimation of these parameters. The novelty of the current paper is twofold: (i) We provide a numerical study and argue that faster convergence can be achieved for estimating the acquisition parameters; (ii) we show that the results from this earlier work are improved when the laser shots are acquired according to a more compact pattern.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025345
Image Processing
Keywords
Field
DocType
image restoration,image segmentation,maximum likelihood estimation,numerical analysis,optimisation,parameter estimation,MAP estimation,acquisition parameter processing,image restoration,laser beam focusing,laser shot,mosaic active imaging,numerical study,optimization problem,parameter estimation,simplified forward model,active imaging,differentiable optimization,graph cuts,image reconstruction,laser imaging
Iterative reconstruction,Cut,Convergence (routing),Field of view,Computer vision,Computer science,Laser,Artificial intelligence,Maximum a posteriori estimation,Image restoration,Optimization problem
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Nicolas Lerme100.34
François Malgouyres2204.41
Emmanuelle Thouin300.34
Dominique Hamoir400.34