A. Laghrib

A Learned ADMM Framework with Fractional-Order Convolutional Regularization for Image Denoising

A model-based deep denoising framework that integrates three tightly coupled components, and proves that every limit point of the L-ADMM sequence is a stationary point of the nonconvex objective, and that the iterate sequence itself converges globally.