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심재영

Sim, Jae-Young
Visual Information Processing Lab.
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dc.citation.conferencePlace FR -
dc.citation.conferencePlace Paris -
dc.citation.endPage 5436 -
dc.citation.startPage 5432 -
dc.citation.title IEEE International Conference on Image Processing -
dc.contributor.author Kim, Jin-Hwan -
dc.contributor.author Sim, Jae-Young -
dc.contributor.author Kim, Chang-Su -
dc.date.accessioned 2023-12-19T23:09:20Z -
dc.date.available 2023-12-19T23:09:20Z -
dc.date.created 2015-07-01 -
dc.date.issued 2014-10-30 -
dc.description.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. -
dc.identifier.bibliographicCitation IEEE International Conference on Image Processing, pp.5432 - 5436 -
dc.identifier.doi 10.1109/ICIP.2014.7026099 -
dc.identifier.scopusid 2-s2.0-84930506863 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/35570 -
dc.identifier.url https://ieeexplore.ieee.org/document/7026099 -
dc.language 영어 -
dc.publisher IEEE -
dc.title Stereo video deraining and desnowing based on spatiotemporal frame warping -
dc.type Conference Paper -
dc.date.conferenceDate 2014-10-27 -

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