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Fast SSIM Index for Color Images Employing Reduced-Reference Evaluation

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Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 247))

Abstract

Image quality assessment employing reduced-reference estimation approaches evaluate the perceived quality with only partially extracted features of the reference image. The primary aim of these approaches is to make objective evaluation flexible enough; accommodating the effect of any new distortion introduced in the image. Based on this concept, the paper proposes a fast approach for quality assessment of color images by modifying the SSIM index. The methodology involves sub-band decomposition of color images in wavelet domain for extracting statistical features. The computational complexity during estimation of features is reduced in this work by using the gradient magnitude approach. Noteworthy reduction in computational time is observed with the proposed index and the evaluation is also found coherent with full-reference and reduced-reference SSIM.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, 227105, U.P., India

    Vikrant Bhateja, Aastha Srivastava & Aseem Kalsi

Authors
  1. Vikrant Bhateja
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  2. Aastha Srivastava
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  3. Aseem Kalsi
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Corresponding author

Correspondence to Vikrant Bhateja .

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Editors and Affiliations

  1. Dept. of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K Udgata

  3. Bhubaneswar Engineering College, Bhubaneswar, India

    Bhabendra Narayan Biswal

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Bhateja, V., Srivastava, A., Kalsi, A. (2014). Fast SSIM Index for Color Images Employing Reduced-Reference Evaluation. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_51

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  • DOI: https://doi.org/10.1007/978-3-319-02931-3_51

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02930-6

  • Online ISBN: 978-3-319-02931-3

  • eBook Packages: EngineeringEngineering (R0)

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