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

Z. M. Parvez Sazzad; Rayeen Sultana; Hajera Siddiqa; Manika Rani Dey

doi:doi:10.11648/j.jeee.20130104.17

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

Z. M. Parvez Sazzad, Rayeen Sultana, Hajera Siddiqa, Manika Rani Dey

Published in Journal of Electrical and Electronic Engineering (Volume 1, Issue 4)

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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[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.
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[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.
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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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TY  - JOUR
T1  - Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures
AU  - Z. M. Parvez Sazzad
AU  - Rayeen Sultana
AU  - Hajera Siddiqa
AU  - Manika Rani Dey
Y1  - 2013/11/20
PY  - 2013
N1  - https://doi.org/10.11648/j.jeee.20130104.17
DO  - 10.11648/j.jeee.20130104.17
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 101
EP  - 106
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20130104.17
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
IS  - 4
ER  -

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Author Information

Z. M. Parvez Sazzad

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

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

Dept. of Applied Physics, Electronics and Communication Engineering, University of Dhaka, Dhaka-1000, Bangladesh
Manika Rani Dey

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

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Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - Objective Image Quality Evaluation Model for JPEG2000 Coded Images Based on Edge Information Measures
AU  - Z. M. Parvez Sazzad
AU  - Rayeen Sultana
AU  - Hajera Siddiqa
AU  - Manika Rani Dey
Y1  - 2013/11/20
PY  - 2013
N1  - https://doi.org/10.11648/j.jeee.20130104.17
DO  - 10.11648/j.jeee.20130104.17
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 101
EP  - 106
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20130104.17
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
IS  - 4
ER  -

Copy | Download