Journal of Information Processing Systems

  • 제13권1호
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  • Pages.114-127
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  • 2017
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

  • Wang, Xiaoyan (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Wang, Chengyou (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Zhou, Xiao (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Yang, Zhiqiang (School of Mechanical, Electrical and Information Engineering, Shandong University)
  • 투고 : 2015.10.16
  • 심사 : 2016.12.03
  • 발행 : 2017.02.28
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초록

This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.

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참고문헌

  1. E. C. Acocella and A. Alcaim, "Alignment by phase of vertical coefficients in SA-DCT," IEEE Signal Processing Letters, vol. 8, no. 2, pp. 42-44, 2001. https://doi.org/10.1109/97.895370
  2. Information technology - Coding of audio-visual objects - Part 10: Advanced video coding, Recommendation ITU-T H.264 and ISO/IEC 14496-10: 2012, 2014.
  3. B. A. Sarif, M. T. Pourazad, P. Nasiopoulos, V. C. Leung, and A. Mohamed, "Fairness scheme for energy efficient H.264/AVC-based video sensor network," Human-centric Computing and Information Sciences, vol. 5, article no. 7, pp. 1-29, 2015. https://doi.org/10.1186/s13673-014-0018-6
  4. M. B. Dissanayake and D. L. B. Abeyrathna, "Performance comparison of HEVC and H.264/AVC standards in broadcasting environments," Journal of Information Processing Systems, vol. 11, no. 3, pp. 483-494, 2015. https://doi.org/10.3745/JIPS.03.0036
  5. Information technology - High efficiency coding and media delivery in heterogeneous environments - Part 2: High efficiency video coding, ISO/IEC 23008-2: 2015, 2015.
  6. Z. X. Hou, C. Y. Wang, and A. P. Yang, "All phase biorthogonal transform and its application in JPEG-like image compression," Signal Processing: Image Communication, vol. 24, no. 10, pp. 791-802, 2009. https://doi.org/10.1016/j.image.2009.08.002
  7. X. Y. Wang, B. C. Jiang, C. Y. Wang, Z. Q. Yang, and C. X. Zhang, "All phase biorthogonal transform and its application in MPEG-4 video compression," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 7, no. 4, pp. 13-22, 2014. https://doi.org/10.14257/ijsip.2014.7.4.02
  8. C. Y. Wang, R. Y. Shan, and X. Zhou, "APBT-JPEG image coding based on GPU," KSII Transactions on Internet and Information Systems, vol. 9, no. 4, pp. 1457-1470, 2015. https://doi.org/10.3837/tiis.2015.04.011
  9. K. Belloulata, A. Belalia, and S. P. Zhu, "Object-based stereo video compression using fractals and shape-adaptive DCT," AEU-International Journal of Electronics and Communications, vol. 68, no. 7, pp. 687-697, 2014. https://doi.org/10.1016/j.aeue.2014.02.011
  10. T. Sikora and B. Makai, "Shape-adaptive DCT for generic coding of video," IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, no. 1, pp. 59-62, 1995. https://doi.org/10.1109/76.350781
  11. Y. M. Zheng, X. Y. Wang, and C. Y. Wang, "Shape-adaptive DCT and its application in region-based image coding," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 7, no. 1, pp. 99-108, 2014. https://doi.org/10.14257/ijsip.2014.7.1.10
  12. B. C. Jiang, A. P. Yang, C. Y. Wang, and Z. X. Hou, "Shape adaptive all phase biorthogonal transform and its application in image coding," Journal of Communications, vol. 8, no. 5, pp. 330-336, 2013. https://doi.org/10.12720/jcm.8.5.330-336
  13. X. Y. Wang, C. Y. Wang, X. Zhou, and Z. Q. Yang, "Video coding based on shape-adaptive all phase biorthogonal transform and MPEG-4," Journal of Communications, vol. 10, no. 12, pp. 1004-1011, 2015.
  14. C. Y. Wang, S. Z. Xie, and X. Zhou, "Bayer patterned image compression based on structure conversion and APBT," International Journal of Multimedia and Ubiquitous Engineering, vol. 10, no. 2, pp. 333-340, 2015. https://doi.org/10.14257/ijmue.2015.10.2.30
  15. F. F. Yang, C. Y. Wang, and X. Zhou, "JPEG-like color image compression based on all phase biorthogonal transform and improved quantization table," Journal of Communications, vol. 10, no. 11, pp. 896-902, 2015.