Deep Variational Network Toward Blind Image Restoration

arXiv:2008.10796v4 Announce Type: replace-cross
Abstract: Blind image restoration (IR) is a common yet challenging problem in computer vision. Classical model-based methods and recent deep learning (DL)-based methods represent two different methodologies for this problem, each with their own merits and drawbacks. In this paper, we propose a novel blind image restoration method, aiming to integrate both the advantages of them. Specifically, we construct a general Bayesian generative model for the blind IR, which explicitly depicts the degradation process. In this …

abstract arxiv blind computer computer vision cs.cv deep learning eess.iv image image restoration network novel paper type vision