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심재영

Sim, Jae-Young
Visual Information Processing Lab.
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Stereo video deraining and desnowing based on spatiotemporal frame warping

Author(s)
Kim, Jin-HwanSim, Jae-YoungKim, Chang-Su
Issued Date
2014-10-30
DOI
10.1109/ICIP.2014.7026099
URI
https://scholarworks.unist.ac.kr/handle/201301/35570
Fulltext
https://ieeexplore.ieee.org/document/7026099
Citation
IEEE International Conference on Image Processing, pp.5432 - 5436
Abstract
A novel rain (or snow) streak removal algorithm for stereo video sequences is proposed in this work. We observe that rain streaks appear at different locations in spatiotemporally adjacent frames. Thus, to derain a left-view frame, we synthesize it by warping the spatially adjacent right-view frame and the temporally previous and next frames, respectively. We subtract each warped frame from the original frame, and apply the median filter to the three difference images to obtain a reliable rain mask. Then, we remove rain streaks by replacing each rainy pixel value with a weighted average of non-locally neighboring pixel values. Experimental results demonstrate that the proposed algorithm removes rain streaks reliably and recovers original scene contents faithfully.
Publisher
IEEE

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