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Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing

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Video deraining and desnowing using temporal correlation and low-rank matrix completion

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Title
Video deraining and desnowing using temporal correlation and low-rank matrix completion
Author
Kim, Jin-HwanSim, Jae-YoungKim, Chang-Su
Issue Date
2015-09
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON IMAGE PROCESSING, v.24, no.9, pp.2658 - 2670
Abstract
A novel algorithm to remove rain or snow streaks from a video sequence using temporal correlation and low-rank matrix completion is proposed in this paper. Based on the observation that rain streaks are too small and move too fast to affect the optical flow estimation between consecutive frames, we obtain an initial rain map by subtracting temporally warped frames from a current frame. Then, we decompose the initial rain map into basis vectors based on the sparse representation, and classify those basis vectors into rain streak ones and outliers with a support vector machine. We then refine the rain map by excluding the outliers. Finally, we remove the detected rain streaks by employing a low-rank matrix completion technique. Furthermore, we extend the proposed algorithm to stereo video deraining. Experimental results demonstrate that the proposed algorithm detects and removes rain or snow streaks efficiently, outperforming conventional algorithms.
URI
https://scholarworks.unist.ac.kr/handle/201301/17100
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7101234
DOI
10.1109/TIP.2015.2428933
ISSN
1057-7149
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