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Blind Image Quality Assessment Through Wakeby Statistics Model

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2015

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Moghaddam, Mohsen Ebrahimi

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https://doi.org/10.1007/978-3-319-20801-5_2
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KAMEL, Mohamed, ed., Aurélio CAMPILHO, ed.. Image Analysis and Recognition. Cham: Springer, 2015, pp. 14-21. Lecture Notes in Computer Science. 9164. ISBN 978-3-319-20800-8. Available under: doi: 10.1007/978-3-319-20801-5_2

Zusammenfassung

In this paper, a new universal blind image quality assessment algorithm is proposed that works in presence of various distortions. The proposed algorithm uses natural scene statistics in spatial domain for generating Wakeby distribution statistical model to extract quality aware features. The features are fed to an SVM (support vector machine) regression model to predict quality score of input image without any information about the distortions type or reference image. Experimental results show that the image quality score obtained by the proposed method has higher correlation with respect to human perceptual opinions and it’s superior in some distortions comparing to some full-reference and other blind image quality methods.

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004 Informatik

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Blind image quality assessment, Natural scene statistics of special domain, Wakeby distribution model, Support vector machine

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International Conference on Image Analysis and Recognition (ICIAR) 2015, 22. Juli 2014 - 24. Juli 2014, Niagara Falls
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ISO 690JENADELEH, Mohsen, Mohsen Ebrahimi MOGHADDAM, 2015. Blind Image Quality Assessment Through Wakeby Statistics Model. International Conference on Image Analysis and Recognition (ICIAR) 2015. Niagara Falls, 22. Juli 2014 - 24. Juli 2014. In: KAMEL, Mohamed, ed., Aurélio CAMPILHO, ed.. Image Analysis and Recognition. Cham: Springer, 2015, pp. 14-21. Lecture Notes in Computer Science. 9164. ISBN 978-3-319-20800-8. Available under: doi: 10.1007/978-3-319-20801-5_2
BibTex
@inproceedings{Jenadeleh2015-07-04Blind-39651,
  year={2015},
  doi={10.1007/978-3-319-20801-5_2},
  title={Blind Image Quality Assessment Through Wakeby Statistics Model},
  number={9164},
  isbn={978-3-319-20800-8},
  publisher={Springer},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Image Analysis and Recognition},
  pages={14--21},
  editor={Kamel, Mohamed and Campilho, Aurélio},
  author={Jenadeleh, Mohsen and Moghaddam, Mohsen Ebrahimi}
}
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