A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.

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Title: A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.
Authors: Xu, Linli1, Liang, Peixian2, Han, Jing1, eohj@njust.edu.cn, Bai, Lianfa1, blf@njust.edu.cn, Chen, Danny Z.2
Source: Multimedia Tools & Applications; May2023, Vol. 82 Issue 13, p19923-19943, 21p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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  Data: A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.
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  Data: <searchLink fieldCode="AU" term="%22Xu%2C+Linli%22">Xu, Linli</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liang%2C+Peixian%22">Liang, Peixian</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Han%2C+Jing%22">Han, Jing</searchLink><relatesTo>1</relatesTo>, <i>eohj@njust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Bai%2C+Lianfa%22">Bai, Lianfa</searchLink><relatesTo>1</relatesTo>, <i>blf@njust.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Chen%2C+Danny+Z%2E%22">Chen, Danny Z.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; May2023, Vol. 82 Issue 13, p19923-19943, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163255951
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11042-022-14208-w
    Languages:
      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 19923
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      – TitleFull: A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.
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            NameFull: Xu, Linli
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            NameFull: Liang, Peixian
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            NameFull: Han, Jing
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            NameFull: Bai, Lianfa
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            – D: 30
              M: 05
              Text: May2023
              Type: published
              Y: 2023
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              Value: 82
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