Complementary sets of shutter sequences for motion deblurring

Hae Gon Jeon; Joon Young Lee; Yudeog Han; Seon Joo Kim; In So Kweon

doi:10.1109/ICCV.2015.404

Complementary sets of shutter sequences for motion deblurring

Hae Gon Jeon, Joon Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.

Original language	English
Title of host publication	2015 International Conference on Computer Vision, ICCV 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3541-3549
Number of pages	9
ISBN (Electronic)	9781467383912
DOIs	https://doi.org/10.1109/ICCV.2015.404
Publication status	Published - 2015 Feb 17
Event	15th IEEE International Conference on Computer Vision, ICCV 2015 - Santiago, Chile Duration: 2015 Dec 11 → 2015 Dec 18

Publication series

Name	Proceedings of the IEEE International Conference on Computer Vision
Volume	2015 International Conference on Computer Vision, ICCV 2015
ISSN (Print)	1550-5499

Other

Other	15th IEEE International Conference on Computer Vision, ICCV 2015
Country/Territory	Chile
City	Santiago
Period	15/12/11 → 15/12/18

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICCV.2015.404

Cite this

Jeon, H. G., Lee, J. Y., Han, Y., Kim, S. J., & Kweon, I. S. (2015). Complementary sets of shutter sequences for motion deblurring. In 2015 International Conference on Computer Vision, ICCV 2015 (pp. 3541-3549). [7410761] (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2015 International Conference on Computer Vision, ICCV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCV.2015.404

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title = "Complementary sets of shutter sequences for motion deblurring",

abstract = "In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.",

author = "Jeon, {Hae Gon} and Lee, {Joon Young} and Yudeog Han and Kim, {Seon Joo} and Kweon, {In So}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer Vision, ICCV 2015 ; Conference date: 11-12-2015 Through 18-12-2015",

year = "2015",

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day = "17",

doi = "10.1109/ICCV.2015.404",

language = "English",

series = "Proceedings of the IEEE International Conference on Computer Vision",

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Jeon, HG, Lee, JY, Han, Y, Kim, SJ & Kweon, IS 2015, Complementary sets of shutter sequences for motion deblurring. in 2015 International Conference on Computer Vision, ICCV 2015., 7410761, Proceedings of the IEEE International Conference on Computer Vision, vol. 2015 International Conference on Computer Vision, ICCV 2015, Institute of Electrical and Electronics Engineers Inc., pp. 3541-3549, 15th IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, 15/12/11. https://doi.org/10.1109/ICCV.2015.404

Complementary sets of shutter sequences for motion deblurring. / Jeon, Hae Gon; Lee, Joon Young; Han, Yudeog et al.
2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3541-3549 7410761 (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2015 International Conference on Computer Vision, ICCV 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kim, Seon Joo

AU - Kweon, In So

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N2 - In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.

AB - In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.

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M3 - Conference contribution

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BT - 2015 International Conference on Computer Vision, ICCV 2015

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ER -

Complementary sets of shutter sequences for motion deblurring

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