Implementation of Local Fourier Burst Accumulation for Video Deblurring

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Communicated by Jérôme Gilles
Demo edited by Jérémy Anger

Abstract

This article presents Local Fourier Burst Accumulation, a recent motion deblurring method. This method processes image bursts and can be naturally extended to video deblurring. The algorithm first registers the frame to its neighboring frames by consistency-controlled optical flow and then fuses the frames temporally by a weighted average in the Fourier domain. As the method does not require the estimation of the blur kernel, it is less sensitive to common deblurring issues such as ringing. The algorithm is detailed and comparison with the results of the original authors are performed.

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  Software Heritage Archive @softwareversion{sw-ipol.2017.197, title = {{Implementation of Local Fourier Burst Accumulation for Video Deblurring}}, author = {Jérémy Anger, Enric Meinhardt-Llopis}, date = {2017-01-16}, license = {BSD-2-Clause}, version = {20170116}, swhid = {swh:1:dir:cafd844fdb2880e195b2ce78651dfaea7ac77eff;origin=https://doi.org/10.5201/ipol.2017.197;visit=swh:1:snp:c826947d396cc3bc8811435ef4a9f35aabef7f9c;anchor=swh:1:rev:02910281e0cf0cfb834da60ca7fec1ea1d782bd6}, related = {ipol.2017.197}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2017.197" } % the biblatex-software style extension is recommended for software bibitems
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History

• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.