Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation.
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| Title: | Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation. |
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| Authors: | Deyan, Wang1,2, wangdy@wxit.edu.cn, Yin, Xiao2, Ya, Gao2 |
| Source: | Multimedia Tools & Applications; Apr2019, Vol. 78 Issue 7, p8927-8941, 15p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 136162806 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Deyan%2C+Wang%22">Deyan, Wang</searchLink><relatesTo>1,2</relatesTo>, <i>wangdy@wxit.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yin%2C+Xiao%22">Yin, Xiao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ya%2C+Gao%22">Ya, Gao</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Apr2019, Vol. 78 Issue 7, p8927-8941, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=136162806 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-018-6685-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 8927 Titles: – TitleFull: Image Denoising method based on NSCT bivariate model and Variational Bayes threshold estimation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Deyan, Wang – PersonEntity: Name: NameFull: Yin, Xiao – PersonEntity: Name: NameFull: Ya, Gao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 78 – Type: issue Value: 7 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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