Paper Info
Title
Video Denoising With Optical Flow Estimation
Abstract
In this paper we describe the implementation of state-of-the-art video denoising algorithm SPTWO [A. Buades, J.L. Lisani, M. Miladinovic, Patch Based Video Denoising with Optical Flow Estimation, IEEE Transactions on Image Processing 25 (6), 2573-2586]. This algorithm, inspired by image fusion techniques, uses motion compensation by regularized optical flow methods, which permits robust patch comparison in spatiotemporal volumes. Groups of similar patches are denoised using Principal Component Analysis, which ensures the correct preservation of fine texture and details.
Year
DOI
Venue
2018
10.5201/ipol.2018.224
IMAGE PROCESSING ON LINE
Keywords
Field
DocType
video denoising, white Gaussian noise, motion compensation, optical flow
Computer vision,Computer science,Optical flow estimation,Artificial intelligence,Video denoising
Journal
Volume
ISSN
Citations 
8
2105-1232
2
PageRank 
References 
Authors
0.36
0
2
Name
Order
Citations
PageRank
Antoni Buades112212.11
Jose Luis Lisani2428.41