[IPOL announce] new article: Video Denoising with Optical Flow Estimation
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Mon Jul 23 01:30:34 CEST 2018
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.
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