Meshflow video denoising

Zhihang Ren, Jiajia Li, Shuaicheng Liu, Bing Zeng

Abstract: We propose an efficient video denoising approach that produces clean videos by utilizing the recently proposed meshflow motion model for the camera motion compensation. The meshflow is a spatially-smooth sparse motion field with motion vectors located at the mesh vertexes. The model is very effective and efficient for the purpose of the multiframes denoising due to its internal characteristics such as the lightweight, the nonparametric form, and the spatially-variant motion representation. Specifically, the meshflows are estimated between adjacent frames, which are used to align frames within a sliding time window. A denoised frame is generated by fusing of several registered frames in a spatial and temporal manner with outlier rejections. Various challenging examples demonstrate the effectiveness and practicability of the proposed approach.