Advanced CNN-Based Image Denoising Techniques for Digital Forensics Applications.
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| Title: | Advanced CNN-Based Image Denoising Techniques for Digital Forensics Applications. |
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| Authors: | Annapurna, H. S.1, annapoornahs@ssit.edu.in, Mala, K.2, mala.k@cittumkur.org, Thahniyath, Gousia3, gusia-cse@du.edu.in, Rudramurthy, V. C.4, rudramurtyvc.ise@bmsce.ac.in, Kumar, Mohan T. G.5, mohankumar.tg@nmit.ac.in, Shwetha, G. K.6, gk.shweta@gmail.com |
| Source: | Engineering, Technology & Applied Science Research; Jun2026, Vol. 16 Issue 3, p35448-35453, 6p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 195332411 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advanced CNN-Based Image Denoising Techniques for Digital Forensics Applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Annapurna%2C+H%2E+S%2E%22">Annapurna, H. S.</searchLink><relatesTo>1</relatesTo>, <i>annapoornahs@ssit.edu.in</i><br /><searchLink fieldCode="AU" term="%22Mala%2C+K%2E%22">Mala, K.</searchLink><relatesTo>2</relatesTo>, <i>mala.k@cittumkur.org</i><br /><searchLink fieldCode="AU" term="%22Thahniyath%2C+Gousia%22">Thahniyath, Gousia</searchLink><relatesTo>3</relatesTo>, <i>gusia-cse@du.edu.in</i><br /><searchLink fieldCode="AU" term="%22Rudramurthy%2C+V%2E+C%2E%22">Rudramurthy, V. C.</searchLink><relatesTo>4</relatesTo>, <i>rudramurtyvc.ise@bmsce.ac.in</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Mohan+T%2E+G%2E%22">Kumar, Mohan T. G.</searchLink><relatesTo>5</relatesTo>, <i>mohankumar.tg@nmit.ac.in</i><br /><searchLink fieldCode="AU" term="%22Shwetha%2C+G%2E+K%2E%22">Shwetha, G. K.</searchLink><relatesTo>6</relatesTo>, <i>gk.shweta@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Jun2026, Vol. 16 Issue 3, p35448-35453, 6p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195332411 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.18234 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 35448 Titles: – TitleFull: Advanced CNN-Based Image Denoising Techniques for Digital Forensics Applications. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Annapurna, H. S. – PersonEntity: Name: NameFull: Mala, K. – PersonEntity: Name: NameFull: Thahniyath, Gousia – PersonEntity: Name: NameFull: Rudramurthy, V. C. – PersonEntity: Name: NameFull: Kumar, Mohan T. G. – PersonEntity: Name: NameFull: Shwetha, G. K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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