Paper Info
Title
Meshflow Video Denoising
Abstract
We propose an efficient video denoising approach that produces clean videos by utilizing the recently proposed mesh flow 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 multi frames denoising due to its internal characteristics such as the lightweight, the nonparametric form, and the spatially variant motion representation. Specifically, the meshllows are estimated between adjacent frames, which arc 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.
Year
Venue
Keywords
2017
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Video denoising, meshflow
DocType
ISSN
Citations 
Conference
1522-4880
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zhihang Ren100.68
Jiajia Li231734.53
Shuaicheng Liu336328.26
B Zeng41374159.35