[IPOL announce] new article: Video Denoising with Optical Flow Estimation

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2018/224/

Antoni Buades, and Jose-Luis Lisani,
Video Denoising with Optical Flow Estimation,
Image Processing On Line, 8 (2018), pp. 142–166.
https://doi.org/10.5201/ipol.2018.224


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.