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Complementary sets of shutter sequences for motion deblurring

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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(s)
Jeon, Hae-GonLee, Joon-YoungHan, YudeogKim, Seon JooKweon, In So
Issued Date
2015-12-15
Type
Conference Paper
DOI
10.1109/ICCV.2015.404
URI
https://scholar.gist.ac.kr/handle/local/20814
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
15th IEEE International Conference on Computer Vision, ICCV 2015, pp.3541 - 3549
Conference Place
CL
Santiago, Chile
Appears in Collections:
Department of AI Convergence > 2. Conference Papers
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