No-reference image quality assessment using structural activity

Presuming that human visual perception is highly sensitive to the structural information in a scene, we propose the concept of structural activity (SA) together with a model of SA indicator in a new framework for no-reference (NR) image quality assessment (QA) in this study. The proposed framework e...

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Veröffentlicht in:	Signal processing 2011-11, Vol.91 (11), p.2575-2588
Hauptverfasser:	Zhang, Jing, Le, Thinh M., Ong, S.H., Nguyen, Truong Q.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Assessments Detection, estimation, filtering, equalization, prediction Estimates Exact sciences and technology Human Image quality Image quality assessment Indicators Information, signal and communications theory No-reference image quality assessment Signal and communications theory Signal processing Signal, noise Structural activity Telecommunications and information theory Visual Visual perception
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