A no-reference perceptual image quality assessment database for learned image codecs

The drastic growth of research in image compression, especially deep learning-based image compression techniques, poses new challenges to objective image quality assessment (IQA). Typical artifacts encountered in the emerging image codecs are significantly different from that produced by traditional...

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Vydané v:	Journal of visual communication and image representation Ročník 88; s. 103617
Hlavní autori:	Zhang, Jiaqi, Fang, Zhigao, Yu, Lu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.10.2022
Predmet:	Generated image compression Image quality assessment Learning-based image compression Generated image compression Image quality assessment Learning-based image compression
ISSN:	1047-3203, 1095-9076
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