Anisotropic Space Variant regularizer in image restorationPP

Variational methods in the field of image restoration are based on the minimization of a functional which is usually sum of a fidelity term and a regularization term. Assuming that the gradients in the pixels are distributed according to a Multivariate Generalized Gaussian distribution, we propose an improvement of the widely used TV (Total Variation) regularization term, adopting a space variant (SV) approach in order to distinguish regions of the same image with different properties.

This is poster number 24 in Poster Session

Monica Pragliola (University of Bologna)
image deblurring, image reconstruction, inverse problems, variational methods