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Quality Assessment on Authentically Distorted Images by Expanding Proxy Labels

In this paper, we propose a no-reference image quality assessment (NR-IQA) approach towards authentically distorted images, based on expanding proxy labels. In order to distinguish from the human labels, we define the quality score, which is generated by using a traditional NR-IQA algorithm, as &...

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Hlavní autoři: Xiaodi Guan, Fan Li, Lijun He
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-02-01
Edice:Electronics
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On-line přístup:https://www.mdpi.com/2079-9292/9/2/252
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