Image Denoising

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

This paper studies the Tensor Robust Principal Component (TRPCA) problem which extends the known Robust PCA to the tensor case.

An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation

An image denoising operator defined by a non-linear partial differential equation(PDE) is presented, which can remove noise, enhance step-like edges and keep the locality of the edges.