Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Kim, Hyunduk | - |
dc.contributor.author | Lee, Sang-Heon | - |
dc.contributor.author | Sohn, Myoung-Kyu | - |
dc.contributor.author | Kim, Dong-Ju | - |
dc.contributor.author | Kim, Byungmin | - |
dc.date.available | 2017-07-11T06:35:31Z | - |
dc.date.created | 2017-04-10 | - |
dc.date.issued | 2013-06 | - |
dc.identifier.issn | 0916-8508 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/3232 | - |
dc.description.abstract | Super resolution (SR) reconstruction is the process of fusing a sequence of low-resolution images into one high-resolution image. Many researchers have introduced various SR reconstruction methods. However, these traditional methods are limited in the extent to which they allow recovery of high-frequency information. Moreover, due to the selfsimilarity of face images, most of the facial SR algorithms are machine learning based. In this paper, we introduce a facial SR algorithm that combines learning-based and regularized SR image reconstruction algorithms. Our conception involves two main ideas. First, we employ separated frequency components to reconstruct high-resolution images. In addition, we separate the region of the training face image. These approaches can help to recover high-frequency information. In our experiments, we demonstrate the effectiveness of these ideas. Copyright © 2013 The Institute of Electronics, Information and Communication Engineers. | - |
dc.language | English | - |
dc.publisher | Institute of Electronics, Information and Communication Engineers | - |
dc.title | Facial Image Super-Resolution Reconstruction Based on Separated Frequency Components | - |
dc.type | Article | - |
dc.identifier.doi | 10.1587/transfun.E96.A.1315 | - |
dc.identifier.scopusid | 2-s2.0-84878567832 | - |
dc.identifier.bibliographicCitation | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, v.E96A, no.6, pp.1315 - 1322 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | facial super resolution | - |
dc.subject.keywordAuthor | frequency domain | - |
dc.subject.keywordAuthor | sparse representation | - |
dc.subject.keywordAuthor | regularization technique | - |
dc.subject.keywordAuthor | bilateral filter | - |
dc.subject.keywordPlus | SPARSE REPRESENTATION | - |
dc.subject.keywordPlus | RESOLUTION | - |
dc.subject.keywordPlus | FACE | - |
dc.subject.keywordPlus | SIMILARITY | - |
dc.subject.keywordPlus | RECOVERY | - |
dc.citation.endPage | 1322 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1315 | - |
dc.citation.title | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | - |
dc.citation.volume | E96A | - |
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