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Blurring image quality assessment method based on histogram of gradient

Published:05 November 2013Publication History

ABSTRACT

In this paper we propose a blurring image quality assessment (IQA) based on histogram of oriented gradients (HOG). The image quality can be determined by the slope value of the HOG of the target image. The representative line of HOG is approximated by a random sample consensus set (RANSAC). Simulation results performed on the LIVE image quality assessment database show that the proposed method aligns better with how the human visual system perceives image quality than several state-of-the-art IQAs.

References

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        cover image ACM Other conferences
        WebMedia '13: Proceedings of the 19th Brazilian symposium on Multimedia and the web
        November 2013
        360 pages
        ISBN:9781450325592
        DOI:10.1145/2526188

        Copyright © 2013 ACM

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        New York, NY, United States

        Publication History

        • Published: 5 November 2013

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        WebMedia '13 Paper Acceptance Rate29of87submissions,33%Overall Acceptance Rate270of873submissions,31%

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