DC Field | Value | Language |
---|---|---|
dc.contributor.author | D Yi | - |
dc.contributor.author | B Choi | - |
dc.contributor.author | Eun-Youn Kim | - |
dc.date.accessioned | 2017-04-19T09:40:33Z | - |
dc.date.available | 2017-04-19T09:40:33Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0096-3003 | - |
dc.identifier.uri | 10.1016/j.amc.2013.05.070 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/11384 | - |
dc.description.abstract | The linearized partial differential equation from the nonlinear partial differential equation which was proposed by Rudin, Osher and Fatemi [L. I. Rudin, S. Osher and E. Fatemi, Nonlinear total variation based noise removal algorithms] for solving image decomposition was introduced by Chambolle [A. Chambolle, An algorithm for total variation minimization and applications] and R. Acar and C.R. Vogel [R. Acar and C. R. Vogel, Analysis of bounded variation penalty methods for ill-posed problems]. In this paper, we propose a method for solving the linearized partial differential equation and we show numerical results for denoising which demonstrate a significant improvement over other previous works. | - |
dc.publisher | Elsevier | - |
dc.title | An effective method for solving nonlinear equations and its application | - |
dc.title.alternative | An effective method for solving nonlinear equations and its application | - |
dc.type | Article | - |
dc.citation.title | Applied Mathematics and Computation | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 579 | - |
dc.citation.startPage | 568 | - |
dc.citation.volume | 220 | - |
dc.contributor.affiliatedAuthor | Eun-Youn Kim | - |
dc.contributor.alternativeName | 이덕균 | - |
dc.contributor.alternativeName | 최부용 | - |
dc.contributor.alternativeName | 김은연 | - |
dc.identifier.bibliographicCitation | Applied Mathematics and Computation, vol. 220, pp. 568-579 | - |
dc.identifier.doi | 10.1016/j.amc.2013.05.070 | - |
dc.subject.keyword | Decomposition | - |
dc.subject.keyword | Duality | - |
dc.subject.keyword | Functional minimization | - |
dc.subject.keyword | Partial differential equation | - |
dc.subject.keyword | Richardson's method | - |
dc.subject.keyword | Total variation | - |
dc.subject.local | Decomposition | - |
dc.subject.local | decomposition | - |
dc.subject.local | Duality | - |
dc.subject.local | Functional minimization | - |
dc.subject.local | Partial differential equation | - |
dc.subject.local | Richardson's method | - |
dc.subject.local | Total variation | - |
dc.description.journalClass | Y | - |
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