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Issues in the design of a no-reference metric for perceived blur

Farnand, Susan P., Liu, Hantao, Gaykema, Frans and Heynderickx, Ingrid 2011. Issues in the design of a no-reference metric for perceived blur. Presented at: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, 23 - 27 January 2011. Society of Photo-optical Instrumentation Engineers (SPIE), 10.1117/12.873277

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Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the noreference (NR) type, which implies that quality prediction is based on the distorted image only. Recent progress in the development of a NR blur metric is evident from many promising methods reported in the literature. However, there is still room for improvement in the design of a NR metric that reliably predicts the extent to which humans perceive blur. In this paper, we address some important issues relevant to the design as well as the application of a NR blur metric. Its purpose is not to describe a particular metric, but rather to explain current concerns and difficulties in this field, and to outline how these issues may be accounted for in the design of future metrics.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Publisher: Society of Photo-optical Instrumentation Engineers (SPIE)
ISSN: 0277-786X
Last Modified: 25 Jul 2022 09:49

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