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Image denoising by low‐rank approximation with estimation of noise energy distribution in SVD domain.

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Title: Image denoising by low‐rank approximation with estimation of noise energy distribution in SVD domain.
Authors: Fan, Linwei1,2, Meng, Ran1, Guo, Qiang3, Shi, Miaowen1, Zhang, Caiming1,2,4, czhang@sdu.edu.cn
Source: IET Image Processing (Wiley-Blackwell); Mar2019, Vol. 13 Issue 4, p680-691, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 148083998
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Image denoising by low‐rank approximation with estimation of noise energy distribution in SVD domain.
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  Data: <searchLink fieldCode="AU" term="%22Fan%2C+Linwei%22">Fan, Linwei</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Meng%2C+Ran%22">Meng, Ran</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Guo%2C+Qiang%22">Guo, Qiang</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Shi%2C+Miaowen%22">Shi, Miaowen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Caiming%22">Zhang, Caiming</searchLink><relatesTo>1,2,4</relatesTo>, <i>czhang@sdu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22IET+Image+Processing+%28Wiley-Blackwell%29%22">IET Image Processing (Wiley-Blackwell)</searchLink>; Mar2019, Vol. 13 Issue 4, p680-691, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=148083998
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1049/iet-ipr.2018.6357
    Languages:
      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 680
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      – TitleFull: Image denoising by low‐rank approximation with estimation of noise energy distribution in SVD domain.
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            NameFull: Fan, Linwei
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            NameFull: Meng, Ran
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            NameFull: Guo, Qiang
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            NameFull: Shi, Miaowen
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            – D: 01
              M: 03
              Text: Mar2019
              Type: published
              Y: 2019
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              Value: 17519659
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              Value: 13
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              Value: 4
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