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Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures

Received: 8 September 2013     Published: 20 November 2013
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Abstract

In this paper, a no-reference objective quality assessment model is proposed for JPEG2000 coded images. It is well established that human visual system is very sensitive to edge information; consequently we believe that perceptual artifacts of any image are strongly dependent on local features such as edge and non-edge areas. Therefore edge and non-edge area based distortions are evaluated in this model. Performance of the model is evaluated by using the subjective experiment results of the LIVE Texas’s database. The performance is also compared with other existing methods and the result is inevitably sufficient.

Published in Journal of Electrical and Electronic Engineering (Volume 1, Issue 4)
DOI 10.11648/j.jeee.20130104.17
Page(s) 101-106
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

JPEG2000, MOS, Edge, Zero-crossing, Segmentation

References
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[3] J. R. Forrest, "Digital vision-where the superhighway will lead," IEE Review, pp 245-249, November 1994.
[4] S. H. Oguz, Y. H. Hu, and T. Q. Nguyen, "Image coding ringing artifact reduction using morphological post-altering," in Proc. IEEE 2nd Workshop Multimedia Signal Processing, 1998, pp. 628-633.
[5] P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "A no-reference perceptual blur metric," in Proc. of the Int. Conf. on Image Processing, vol. 3, pp. 57-60, Rochester, NY, 2002.
[6] P. Marziliano, F. Dufaux, S. Winkler, and T. Ebrahimi, "Perceptual blur and ringing metrics: Applications to JPEG2000," Signal Proc.: Image Commu., 19(2) pp.163-172, 2004.
[7] H. R. Sheikh, A. C. Bovik, and L. Cormack "No reference quality assessment using natural scene statistics: JPEG2000," IEEE Trans. on Image Process, vol. 14, no. 11, pp. 1918-1927, Nov., 2005.
[8] Tong H., et al., "No reference quality assessment for JPEG2000 compressed images," in Proc. Intl. Conf. on image processing, ICIP’04, 2004, Singapore, pp. 3539–3542.
[9] Barland, R., and A. Saadane, "Reference free quality metric for JPEG2000 compressed images," in Proc. ISSPA, 2005, Sydney, Australia, pp. 351–354.
[10] X. Li, "Blind image quality assessment," IEEE Int. Conf. Image Processing, Rochester, NY, Sept. 2002, pp. 449–452.
[11] A.K. Moorthy and A.C. Bovik, "A two-step framework for constructing blind image quality indices, IEEE Signal Processing Letters, 17 (5) (2010), pp. 513–516.
[12] M.A. Saad, A.C. Bovik and C. Charrier, "A DCT statistics-based blind image quality index", IEEE Signal Processing Letters 17 (6) (2010), pp.583-586
[13] Z. M. Parvez Sazzad, Y. Kawayoke, and Y. Horita, "Spatial features based no reference image quality assessment for JPEG2000," IEEE Intl. Conf. on Image Processing. ICIP2007, San Antonio, USA, Sept. 2007.
[14] J. Zhang, S.H. Ong, T. M. Le, "Kurtosis-based no-reference quality assessment of JPEG2000 images," Elsevier, Signal processing: Image Communication, vol.26 (2011), pp. 13-23.
[15] Roushain Akhter, Z. M. Parvez Sazzad, and Y. Horita, and J. Baltes "No reference stereoscopic image quality assessment," Proc. SPIE, Vol. 7524, San Jose, CA, USA, Jan. 18-20, 2010.
[16] J. Kennedy and R. Eberhart, "Particle Swarm Optimization," Proc. IEEE ICNN, Perth, Australia, pp. 1942-1948, Nov. 1995.
[17] Video Quality Expert Group (VQEG) Multimedia test plan, final version, 2007.
[18] H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik (2003) LIVE Image Quality Assessment Database. [Online]. Available: http://live.ece.utexas.edu/ research/quality.
[19] Full Reference Television Phase II Test, September 2002, Version 1.6.
Cite This Article
  • APA Style

    Z. M. Parvez Sazzad, Rayeen Sultana, Hajera Siddiqa, Manika Rani Dey. (2013). Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures. Journal of Electrical and Electronic Engineering, 1(4), 101-106. https://doi.org/10.11648/j.jeee.20130104.17

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    ACS Style

    Z. M. Parvez Sazzad; Rayeen Sultana; Hajera Siddiqa; Manika Rani Dey. Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures. J. Electr. Electron. Eng. 2013, 1(4), 101-106. doi: 10.11648/j.jeee.20130104.17

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    AMA Style

    Z. M. Parvez Sazzad, Rayeen Sultana, Hajera Siddiqa, Manika Rani Dey. Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures. J Electr Electron Eng. 2013;1(4):101-106. doi: 10.11648/j.jeee.20130104.17

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  • @article{10.11648/j.jeee.20130104.17,
      author = {Z. M. Parvez Sazzad and Rayeen Sultana and Hajera Siddiqa and Manika Rani Dey},
      title = {Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {1},
      number = {4},
      pages = {101-106},
      doi = {10.11648/j.jeee.20130104.17},
      url = {https://doi.org/10.11648/j.jeee.20130104.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20130104.17},
      abstract = {In this paper, a no-reference objective quality assessment model is proposed for JPEG2000 coded images. It is well established that human visual system is very sensitive to edge information; consequently we believe that perceptual artifacts of any image are strongly dependent on local features such as edge and non-edge areas. Therefore edge and non-edge area based distortions are evaluated in this model. Performance of the model is evaluated by using the subjective experiment results of the LIVE Texas’s database. The performance is also compared with other existing methods and the result is inevitably sufficient.},
     year = {2013}
    }
    

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    T1  - Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures
    AU  - Z. M. Parvez Sazzad
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    AB  - In this paper, a no-reference objective quality assessment model is proposed for JPEG2000 coded images. It is well established that human visual system is very sensitive to edge information; consequently we believe that perceptual artifacts of any image are strongly dependent on local features such as edge and non-edge areas. Therefore edge and non-edge area based distortions are evaluated in this model. Performance of the model is evaluated by using the subjective experiment results of the LIVE Texas’s database. The performance is also compared with other existing methods and the result is inevitably sufficient.
    VL  - 1
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Author Information
  • Dept. of Applied Physics, Electronics and Communication Engineering, University of Dhaka, Dhaka-1000, Bangladesh

  • Dept. of Applied Physics, Electronics and Communication Engineering, University of Dhaka, Dhaka-1000, Bangladesh

  • Dept. of Applied Physics, Electronics and Communication Engineering, University of Dhaka, Dhaka-1000, Bangladesh

  • Department of Information and Communication Technology, Mawlana Bhasani Science and Technology University, Tangail, Bangladesh

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