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No Reference Image Quality Assessment by Designing Fuzzy Relational Classifier Using MOS Weight Matrix

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Bio-Inspired Computing and Applications (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6840))

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Abstract

Assessing quality of distorted/decompressed images without reference to the original image is a challenging task because extracted features are often inexact and there exist complex relation between features and visual quality of images. The paper aims at assessing quality of distorted/decompressed images without any reference to the original image by developing a fuzzy relational classifier. Here impreciseness in feature space of training dataset is tackled using fuzzy clustering method. As a next step, logical relation between the structure of data and the soft class labels is established using fuzzy mean opinion score (MOS) weight matrix. Quality of a new image is assessed in terms of degree of membership value of the input pattern corresponding to given classes applying fuzzy relational operator. Finally, a crisp decision is obtained after defuzzification of the membership value.

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Author information

Authors and Affiliations

  1. Department of Information Technology, MCKV Institute of Engineering, Liluah, Howrah, West Bengal, 711204, India

    Indrajit De

  2. Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, Howrah, West Bengal, India

    Jaya Sil

Authors
  1. Indrajit De
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  2. Jaya Sil
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, 2522, P.O. Box, North Wollongong, NSW, Australia

    Prashan Premaratne

  4. School of Computer Science and Engineering, Inha University, 402-751, Inchon, Korea

    Kyungsook Han

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© 2012 Springer-Verlag Berlin Heidelberg

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De, I., Sil, J. (2012). No Reference Image Quality Assessment by Designing Fuzzy Relational Classifier Using MOS Weight Matrix. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_48

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24552-7

  • Online ISBN: 978-3-642-24553-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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