Abstract for February 28, 2006
Gloria Haro Ortega: Image restoration: irregular to regular sampling, deconvolution,
denoising and zooming.
We propose an algorithm to solve a problem in image restoration
which considers different aspects of a general image acquisition system,
namely: irregular (or perturbed) sampling, noise and blur. Our algorithm
based on an extension of a previous image denoising algorithm proposed by
A. Chambolle using total variation, combined with irregular to regular
sampling algorithms proposed by K. Gröchenig et al. The variational
problem allows to recover a zoomed version of the image and to preserve
textures as well.
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