Deep unfolding of a proximal interior point method for image restoration

• Published in: Inverse problems Vol. 36; no. 3; pp. 34005 - 34031
• Main Authors: Bertocchi, C, Chouzenoux, E, Corbineau, M-C, Pesquet, J-C, Prato, M
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.03.2020
• Subjects: Computer Science; deep unfolding; Image Processing; image restoration; interior point method; Machine Learning; Mathematics; neural network; Optimization and Control; proximal algorithms; regularization; deep unfolding; proximal algorithms; image restoration; Neural networks; regularization; Interior point method; Interior point methods; neural network
• ISSN: 0266-5611; 1361-6420
• DOI: 10.1088/1361-6420/ab460a

Variational methods are widely applied to ill-posed inverse problems for they have the ability to embed prior knowledge about the solution. However, the level of performance of these methods significantly depends on a set of parameters, which can be estimated through computationally expensive and ti...