Opinion-unaware blind picture quality measurement using deep encoder–decoder architecture

Recently, deep-learning-based blind picture quality measurement (BPQM) metrics have gained significant attention. However, training a robust deep BPQM metric remains a difficult and challenging task because of the limited number of subject-rated training samples. State-of-the-art full-reference (FR)...

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Vydáno v:	Digital signal processing Ročník 107; s. 102834
Hlavní autoři:	Zhou, Wujie, Lin, Xinyang, Zhou, Xi, Lei, Jingsheng, Yu, Lu, Luo, Ting
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.12.2020
Témata:	Blind picture quality measurement Deep encoder–decoder architecture Deep learning End-to-end mapping Opinion-unaware Quality/similarity maps Deep learning Deep encoder–decoder architecture Blind picture quality measurement End-to-end mapping Quality/similarity maps Opinion-unaware
ISSN:	1051-2004, 1095-4333
On-line přístup:	Získat plný text
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