Explainable bilevel optimization: an application to the Helsinki deblur challenge. (arXiv:2210.10050v1 [eess.IV])

In this paper we present a bilevel optimization scheme for the solution of a
general image deblurring problem, in which a parametric variational-like
approach is encapsulated within a machine learning scheme to provide a high
quality reconstructed image with automatically learned parameters. The
ingredients of the variational lower level and the machine learning upper one
are specifically chosen for the Helsinki Deblur Challenge 2021, in which
sequences of letters are asked to be recovered from out-of-focus photographs
with increasing levels …

application arxiv challenge helsinki optimization