Implementation of Local Fourier Burst Accumulation for Video Deblurring
Jérémy Anger, Enric Meinhardt-Llopis
→ BibTeX
@article{ipol.2017.197,
    title   = {{Implementation of Local Fourier Burst Accumulation for Video Deblurring}},
    author  = {Anger, Jérémy and Meinhardt-Llopis, Enric},
    journal = {{Image Processing On Line}},
    volume  = {7},
    pages   = {56--64},
    year    = {2017},
    doi     = {10.5201/ipol.2017.197},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2017.197}}
published
2017-03-19
reference
Jérémy Anger, and Enric Meinhardt-Llopis, Implementation of Local Fourier Burst Accumulation for Video Deblurring, Image Processing On Line, 7 (2017), pp. 56–64. https://doi.org/10.5201/ipol.2017.197

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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