Regularizing parameter estimation for Poisson noisy image restoration
Mikaël Carlavan, Laure Blanc‐Féraud · 2012
Deblurring images corrupted by Poisson noise is a challenging process which has devoted much research in many applications such as astronomical or biological imaging. This problem, among others, is an ill-posed problem which can be regularized by adding knowledge on the solution. Several method