Optimal image Denoising using patch-based convolutional neural network architecture.
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| Title: | Optimal image Denoising using patch-based convolutional neural network architecture. |
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| Authors: | Tabassum, Shabana1, shabana_tabassum2k22@rediffmail.com, Gowre, SanjayKumar C2 |
| Source: | Multimedia Tools & Applications; Aug2023, Vol. 82 Issue 19, p29805-29821, 17p |
| 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: 165467688 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal image Denoising using patch-based convolutional neural network architecture. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tabassum%2C+Shabana%22">Tabassum, Shabana</searchLink><relatesTo>1</relatesTo>, <i>shabana_tabassum2k22@rediffmail.com</i><br /><searchLink fieldCode="AU" term="%22Gowre%2C+SanjayKumar+C%22">Gowre, SanjayKumar C</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Aug2023, Vol. 82 Issue 19, p29805-29821, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=165467688 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-15014-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 29805 Titles: – TitleFull: Optimal image Denoising using patch-based convolutional neural network architecture. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tabassum, Shabana – PersonEntity: Name: NameFull: Gowre, SanjayKumar C IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 82 – Type: issue Value: 19 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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