Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning

Universal blind image quality assessment (IQA) metrics that can work for various distortions are of great importance for image processing systems, because neither ground truths are available nor the distortion types are aware all the time in practice. Existing state-of-the-art universal blind IQA al...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems Jg. 24; H. 12; S. 2013 - 2026
Hauptverfasser: Gao, Xinbo, Gao, Fei, Tao, Dacheng, Li, Xuelong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.12.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2162-237X, 2162-2388, 2162-2388
Online-Zugang:Volltext
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