Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2023-08-21T07:03:05Z | - |
dc.date.available | 2023-08-21T07:03:05Z | - |
dc.date.issued | 2014-06 | - |
dc.identifier.citation | IEEE International Symposium on Consumer Electronics, article no. 6884387, Page. 1-2 | - |
dc.identifier.issn | 2158-3994;2158-4001 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/6884387 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/185552 | - |
dc.description.abstract | We propose an efficient algorithm for motion deblurring with kernel estimation using consecutive images. First we estimate motion vectors between consecutive images using optical flow and RANSAC. Then we calculate the weights of motion vectors. The proposed method is similar to Ben-Ezra's method. The main difference is that we use a single camera for estimating a blur kernel and capturing a blurred image. Experimental results have shown that the proposed method produces better deblurred images with less artifacts. © 2014 IEEE. | - |
dc.description.sponsorship | This work was supported by grant funded by the 2014 Samsung Thales Co.(STC). | - |
dc.language | en | - |
dc.subject | consecutive frames | - |
dc.subject | deblurring | - |
dc.subject | kernel estimation | - |
dc.subject | linear motion | - |
dc.subject | video deblurring | - |
dc.title | Weighted linear motion deblurring with blur kernel estimation using consecutive frames | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ISCE.2014.6884387 | - |
dc.relation.page | 1-2 | - |
dc.relation.journal | IEEE International Symposium on Consumer Electronics | - |
dc.contributor.googleauthor | Woo Jin Jeong. | - |
dc.contributor.googleauthor | Jin Wook Park | - |
dc.contributor.googleauthor | Dong-Seok Lee | - |
dc.contributor.googleauthor | Wonju Choi | - |
dc.contributor.googleauthor | Young Shik Moon | - |
dc.sector.campus | E | - |
dc.sector.daehak | 소프트웨어융합대학 | - |
dc.sector.department | 소프트웨어학부 | - |
dc.identifier.pid | ysmoon | - |
dc.identifier.article | 6884387 | - |
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