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Hand-Held Video Deblurring Via Efficient Fourier Aggregation

Publication ,  Journal Article
Delbracio, M; Sapiro, G
Published in: IEEE Transactions on Computational Imaging
December 1, 2015

Videos captured with hand-held cameras often suffer from a significant amount of blur, mainly caused by the inevitable natural tremor of the photographer's hand. In this work, we present an algorithm that removes blur due to camera shake by combining information in the Fourier domain from nearby frames in a video. The dynamic nature of typical videos with the presence of multiple moving objects and occlusions makes this problem of camera shake removal extremely challenging, in particular when low complexity is needed. Given an input video frame, we first create a consistent registered version of temporally adjacent frames. Then, the set of consistently registered frames is block-wise fused in the Fourier domain with weights depending on the Fourier spectrum magnitude. The method is motivated from the physiological fact that camera shake blur has a random nature; therefore, nearby video frames are generally blurred differently. Experiments with numerous videos recorded in the wild, along with extensive comparisons, show that the proposed algorithm achieves state-of-the-art results while at the same time being much faster than its competitors.

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Published In

IEEE Transactions on Computational Imaging

DOI

EISSN

2333-9403

ISSN

2573-0436

Publication Date

December 1, 2015

Volume

1

Issue

4

Start / End Page

270 / 283

Related Subject Headings

  • 4903 Numerical and computational mathematics
  • 4603 Computer vision and multimedia computation
  • 4006 Communications engineering
 

Citation

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Delbracio, M., & Sapiro, G. (2015). Hand-Held Video Deblurring Via Efficient Fourier Aggregation. IEEE Transactions on Computational Imaging, 1(4), 270–283. https://doi.org/10.1109/TCI.2015.2501245
Delbracio, M., and G. Sapiro. “Hand-Held Video Deblurring Via Efficient Fourier Aggregation.” IEEE Transactions on Computational Imaging 1, no. 4 (December 1, 2015): 270–83. https://doi.org/10.1109/TCI.2015.2501245.
Delbracio M, Sapiro G. Hand-Held Video Deblurring Via Efficient Fourier Aggregation. IEEE Transactions on Computational Imaging. 2015 Dec 1;1(4):270–83.
Delbracio, M., and G. Sapiro. “Hand-Held Video Deblurring Via Efficient Fourier Aggregation.” IEEE Transactions on Computational Imaging, vol. 1, no. 4, Dec. 2015, pp. 270–83. Scopus, doi:10.1109/TCI.2015.2501245.
Delbracio M, Sapiro G. Hand-Held Video Deblurring Via Efficient Fourier Aggregation. IEEE Transactions on Computational Imaging. 2015 Dec 1;1(4):270–283.

Published In

IEEE Transactions on Computational Imaging

DOI

EISSN

2333-9403

ISSN

2573-0436

Publication Date

December 1, 2015

Volume

1

Issue

4

Start / End Page

270 / 283

Related Subject Headings

  • 4903 Numerical and computational mathematics
  • 4603 Computer vision and multimedia computation
  • 4006 Communications engineering