Salt‐and‐pepper denoising based on lightweight convolutional neural networks for flexible AMOLED.
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| Title: | Salt‐and‐pepper denoising based on lightweight convolutional neural networks for flexible AMOLED. |
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| Authors: | Huang, Chengqiang1, 18616836345@163.com, Yang, Yanjun1, He, Yinghu1 |
| Source: | IET Image Processing (Wiley-Blackwell); Jan-Dec2025, Vol. 19 Issue 1, p1-18, 18p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190415003 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Salt‐and‐pepper denoising based on lightweight convolutional neural networks for flexible AMOLED. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Huang%2C+Chengqiang%22">Huang, Chengqiang</searchLink><relatesTo>1</relatesTo>, <i>18616836345@163.com</i><br /><searchLink fieldCode="AU" term="%22Yang%2C+Yanjun%22">Yang, Yanjun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22He%2C+Yinghu%22">He, Yinghu</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IET+Image+Processing+%28Wiley-Blackwell%29%22">IET Image Processing (Wiley-Blackwell)</searchLink>; Jan-Dec2025, Vol. 19 Issue 1, p1-18, 18p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190415003 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1049/ipr2.13307 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Salt‐and‐pepper denoising based on lightweight convolutional neural networks for flexible AMOLED. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Chengqiang – PersonEntity: Name: NameFull: Yang, Yanjun – PersonEntity: Name: NameFull: He, Yinghu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan-Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 17519659 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: IET Image Processing (Wiley-Blackwell) Type: main |
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