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Proceedings Paper

Completely blind image quality assessment based on gray-scale fluctuations
Author(s): Xichen Yang; Quansen Sun; Tianshu Wang
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Paper Abstract

Completely blind image quality assessment is the further development of no reference image quality assessment. And this kind quality assessment method is highly unsupervised, training free, and don’t rely on natural scene statistic model. This paper proposes a completely blind quality assessment method based on gray-scale fluctuations (GFQA). The new method uses a specific image primitive to analyze the image gray fluctuations. And the analysis result is used to assess the image quality and give the image quality assessment result directly. The experimental results show that the new method accords closely with human subjective judgments of diverse distorted images when tested on the large publicly available ‘LIVE’ Image Quality database.

Paper Details

Date Published: 16 April 2014
PDF: 6 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915916 (16 April 2014); doi: 10.1117/12.2064357
Show Author Affiliations
Xichen Yang, Nanjing Univ. of Science and Technology (China)
Quansen Sun, Nanjing Univ. of Science and Technology (China)
Tianshu Wang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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