Novel Hybrid Sparse and Low-Rank Representation With Auto-Weight Minimax Lγ Concave Penalty for Image Denoising

Image denoising techniques often rely on convex relaxations, which can introduce bias into estimations. To address this, non-convex regularizers like weighted nuclear norm minimization and weighted Schatten p-norm minimization have been proposed. However, current implementations often rely on heuris...

Ausführliche Beschreibung