Video Denoising with Optical Flow Estimation
Antoni Buades, Jose-Luis Lisani
→ BibTeX
@article{ipol.2018.224,
    title   = {{Video Denoising with Optical Flow Estimation}},
    author  = {Buades, Antoni and Lisani, Jose-Luis},
    journal = {{Image Processing On Line}},
    volume  = {8},
    pages   = {142--166},
    year    = {2018},
    doi     = {10.5201/ipol.2018.224},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2018.224}}
published
2018-07-23
reference
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

Communicated by Marc Lebrun
Demo edited by Jose-Luis Lisani

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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