Robotics and Computer Vision Lab

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International Conference
2015.08.31 17:23

Complementary Sets of Shutter Sequences for Motion Deblurring

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저 자 Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon
학 회 IEEE International Conference on Computer Vision (ICCV)
Notes This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIP) (No.2010- 0028680). Hae-Gon Jeon was partially supported by Global PH.D Fellowship Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2015H1A2A1034617).
논문일시(Year) 2015
논문일시(Month) 12
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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