TOPIQ: A Top-Down Approach From Semantics to Distortions for Image Quality Assessment

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed remarkable progress with deep neural networks. Inspired by the characteristics of the human visual system, existing methods typically use a combination of global and local representations (i.e., multi-scale fe...

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Veröffentlicht in:	IEEE transactions on image processing 2024-01, Vol.33, p.2404-2418
Hauptverfasser:	Chen, Chaofeng, Mo, Jiadi, Hou, Jingwen, Wu, Haoning, Liao, Liang, Sun, Wenxiu, Yan, Qiong, Lin, Weisi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer vision cross-scale attention Distortion Feature extraction Image quality Image quality assessment multi-scale features Quality assessment Representations Residual neural networks Semantics top-down approach Transformers
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