Advanced Methods and Deep Learning in Computer Vision

Chapter 14: Deep plug-and-play and deep unfolding methods for image restoration

Kai Zhang; Radu Timofte    Computer Vision Lab, ETH Zürich, Zürich, Switzerland

Abstract

Model-based methods and learning-based methods have been the two dominant strategies for solving various image restoration problems in low-level vision. Typically, those two kinds of methods have their respective merits and drawbacks, e.g., model-based methods are flexible for handling different image restoration problems but are usually time-consuming with sophisticated priors for the purpose of good performance; meanwhile, learning-based methods are continuously showing superior effectiveness and efficiency over traditional model-based methods, largely due to the end-to-end training, ...