Nonlinear Reaction-Diffusion Based Video Restoration Technique for Noise Mixtures

A novel spatio-temporal video denoising and restoration framework is introduced in this article. The proposed filtering technique deals effectively with mixtures composed of both signal-independent and signal-dependent noise components, which deteriorate the movie sequences. It is based on a new well-posed 3D nonlinear second-order reaction- diffusion model that address properly the inter-frame correlation issue. A discretization algorithm which solves numerically this nonlinear PDE-based model is then proposed and used successfully in the video noise reduction experiments that are also described in this work.