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Fluttering pattern generation using modified legendre sequence for coded exposure imaging

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Abstract
Finding a good binary sequence is critical in determining the performance of the coded exposure imaging, but previous methods mostly rely on a random search for finding the binary codes, which could easily fail to find good long sequences due to the exponentially growing search space. In this paper, we present a new computationally efficient algorithm for generating the binary sequence, which is especially well suited for longer sequences. We show that the concept of the low autocorrelation binary sequence that has been well exploited in the information theory community can be applied for generating the fluttering patterns of the shutter, propose a new measure of a good binary sequence, and present a new algorithm by modifying the Legendre sequence for the coded exposure imaging. Experiments using both synthetic and real data show that our new algorithm consistently generates better binary sequences for the coded exposure problem, yielding better deblurring and resolution enhancement results compared to the previous methods for generating the binary codes. © 2013 IEEE.
Author(s)
Jeon, Hae-GonLee, Joon-YoungHan, YudeogKim, Seon JooKweon, In So
Issued Date
2013-12-05
Type
Conference Paper
DOI
10.1109/ICCV.2013.128
URI
https://scholar.gist.ac.kr/handle/local/22555
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2013 14th IEEE International Conference on Computer Vision, ICCV 2013, pp.1001 - 1008
Conference Place
AT
Sydney, NSW
Appears in Collections:
Department of AI Convergence > 2. Conference Papers
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