A novel image Denoising approach using super resolution densely connected convolutional networks.
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| Title: | A novel image Denoising approach using super resolution densely connected convolutional networks. |
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| Authors: | İncetaş, Mürsel Ozan1, ozan.incetas@alanya.edu.tr, Uçar, Murat2, Uçar, Emine2, Köse, Utku3, utkukose@sdu.edu.tr |
| Source: | Multimedia Tools & Applications; 9/30/2022, Vol. 81 Issue 23, p33291-33309, 19p |
| 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: 159196934 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=159196934 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-022-13096-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 33291 Titles: – TitleFull: A novel image Denoising approach using super resolution densely connected convolutional networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: İncetaş, Mürsel Ozan – PersonEntity: Name: NameFull: Uçar, Murat – PersonEntity: Name: NameFull: Uçar, Emine – PersonEntity: Name: NameFull: Köse, Utku IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 09 Text: 9/30/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 81 – Type: issue Value: 23 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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