The Vaguelette-Curvelet Decomposition for Image Deblurring
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조창훈 | - |
dc.contributor.author | Katsaggelo, A.K. | - |
dc.contributor.author | 백준기 | - |
dc.date.available | 2020-06-08T06:21:53Z | - |
dc.date.issued | 2013-06 | - |
dc.identifier.issn | 2287-5255 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40421 | - |
dc.description.abstract | We present a vaguelette-curvelet decomposition based image deblurring algorithm. We first perform denoising based on the hard-thresholding rule by estimating unknown curvelet coefficients. The proposed algorithm then calculates vaguelette functions by deconvolving the curvelet bases by the point spread function. Vaguelette transform is finally performed to make a clearly restored image. Since the proposed algorithm uses the curvelet transform to sensitively express the edges in all directions, it is possible to restore images with more naturally preserved edges in all directions. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 대한전자공학회 | - |
dc.title | The Vaguelette-Curvelet Decomposition for Image Deblurring | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | IEIE Transactions on Smart Processing & Computing, v.2, no.3, pp 140 - 147 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 147 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 140 | - |
dc.citation.title | IEIE Transactions on Smart Processing & Computing | - |
dc.citation.volume | 2 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Vaguelette-curvelet decomposition | - |
dc.subject.keywordAuthor | Fast discrete curvelet transform (FDCT) | - |
dc.subject.keywordAuthor | Image restoration | - |
dc.description.journalRegisteredClass | domestic | - |
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