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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 1444 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1416 | - |
dc.citation.title | SIAM JOURNAL ON IMAGING SCIENCES | - |
dc.citation.volume | 6 | - |
dc.contributor.author | Guidotti, Patrick | - |
dc.contributor.author | Kim, Yunho | - |
dc.contributor.author | Lambers, James | - |
dc.date.accessioned | 2023-12-22T04:36:17Z | - |
dc.date.available | 2023-12-22T04:36:17Z | - |
dc.date.created | 2014-11-14 | - |
dc.date.issued | 2013 | - |
dc.description.abstract | new class of anisotropic diffusion models is proposed for image processing which can be viewed either as a novel kind of regularization of the classical Perona-Malik model or, as advocated by the authors, as a new independent model. The models are diffusive in nature and are characterized by the presence of both forward and backward regimes. In contrast to the Perona-Malik model, in the proposed model the backward regime is confined to a bounded region, and gradients are only allowed to grow up to a large but tunable size, thus effectively preventing indiscriminate singularity formation, i.e., staircasing. Extensive numerical experiments demonstrate that the method is a viable denoising/deblurring tool. The method is significantly faster than competing state-of-the-art methods and appears to be particularly effective for simultaneous denoising and deblurring. An application to satellite image enhancement is also presented. | - |
dc.identifier.bibliographicCitation | SIAM JOURNAL ON IMAGING SCIENCES, v.6, no.3, pp.1416 - 1444 | - |
dc.identifier.doi | 10.1137/120882895 | - |
dc.identifier.issn | 1936-4954 | - |
dc.identifier.scopusid | 2-s2.0-84885051412 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/8823 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84885051412 | - |
dc.identifier.wosid | 000326072200010 | - |
dc.language | 영어 | - |
dc.publisher | SIAM PUBLICATIONS | - |
dc.title | Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona-Malik Type with Applications to Satellite Image Enhancement | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | nonlinear diffusion | - |
dc.subject.keywordAuthor | forward-backward diffusion | - |
dc.subject.keywordAuthor | denoising | - |
dc.subject.keywordAuthor | deblurring | - |
dc.subject.keywordAuthor | satellite images | - |
dc.subject.keywordPlus | SUBSPACE SPECTRAL METHODS | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | MOMENTS | - |
dc.subject.keywordPlus | APPROXIMATIONS | - |
dc.subject.keywordPlus | QUADRATURE | - |
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