IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Linear Sub-band Decomposition-based Pre-processing for Perceptual Video Coding

  • Received : 2016.09.23
  • Accepted : 2016.10.24
  • Published : 2016.10.30
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Abstract

This paper proposes a pre-processing algorithm to improve the coding efficiency of perceptual video coding. First, an input image is decomposed into multiple sub-bands through linear sub-band decomposition. Then, the sub-bands that have low visual sensitivity are suppressed by assigning small gains to them. Experimental results show that if the proposed algorithm is adopted for pre-processing in a High Efficiency Video Coding (HEVC) encoder, it can provide significant bit-saving effects of approximately 12% in low delay mode and 9.4% in random access mode.

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References

  1. T. Wiegand, G. J. Sullivan, G. Bjontegaard and A. Luthra, "Overview of the H.264/AVC Video Coding Standard," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 7, pp. 560-576, July 2003. https://doi.org/10.1109/TCSVT.2003.815165
  2. G. J. Sullivan, J. R. Ohm, W. J. Han, T. Wiegand, "Overview of the High Efficiency Video Coding (HEVC) Standard," IEEE Trans. Circuits Syst. Video Technol., vol. 22, no. 12, pp. 1649-1668, Dec. 2012. https://doi.org/10.1109/TCSVT.2012.2221191
  3. J. R. Ohm, G. J. Sullivan, H. Schwarz, T. K. Tan and T. Wiegand, "Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)," IEEE Trans. Circuits Syst. Video Technol., vol. 22, pp. 1668-1683, Dec. 2012.
  4. H. R. Wu and K. R. Rao, Digital Video Image Quality and Perceptual Coding, Boca Raton, FL: CRC Press, Nov. 2005.
  5. C. W. Tang, C. H. Chen, Y. H. Yu, and C. J. Tsai, "Visual Sensitivity Guided Bit Allocation for Video Coding," IEEE Trans. Multimedia, vol. 8, no. 1, pp. 11-18, Feb. 2006. https://doi.org/10.1109/TMM.2005.861295
  6. Z. Li, S. Qin, and L. Itti, "Visual Attention Guided Bit Allocation in Video Compression," Image Vis. Comput., vol. 29, no. 1, pp. 1-14, Jan. 2011. https://doi.org/10.1016/j.imavis.2010.07.001
  7. J. Kim, S. H. Bae, and M. Kim, "An HEVCCompliant Perceptual Video Coding Scheme based on JND Models for Variable Block-sized Transform Kernels," IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 11, pp. 1786-1800, Nov. 2015. https://doi.org/10.1109/TCSVT.2015.2389491
  8. M. Naccari and F. Pereira, "Advanced H.264/AVCBased Perceptual Video Coding: Architecture, Tools, and Assessment," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 6, pp. 766-782, Jun. 2011. https://doi.org/10.1109/TCSVT.2011.2130430
  9. R. Vanam, L. J. Kerofsky, and Y.A. Reznik, "Perceptual Pre-Processing Filter for Adaptive Video on Demand Content Delivery," Proc. IEEE Int. Conf. on Image Processing, pp. 2537-2541, 2014.
  10. H. Oh and W. Kim, "Video Processing for Human Perceptual Visual Quality-Oriented Video Coding," IEEE Trans. Image Process., vol. 22, no. 4, pp. 1526- 1535, Apr. 2013. https://doi.org/10.1109/TIP.2012.2233485
  11. Z. Wei and K. N. Ngan, "Spatio-Temporal Just Noticeable Distortion Profile for Gary Scale Image/Video in DCT Domain," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 3, pp. 337-346, Mar. 2009. https://doi.org/10.1109/TCSVT.2009.2013518
  12. J. H. Jang, B. Choi, S. D. Kim, and J. B. Ra, "Subband Decomposed Multiscale Retinex with Space Varying Gain," Proc. IEEE Int. Conf. on Image Processing, pp. 3168-3171, 2008.
  13. Joint Video Team of ITU-T VCEG and ISO/IEC MPEG, Joint Model Reference Software, version 19.0.
  14. HM Reference Software 16.10. [Online]. Available: https://hevc.hhi.fraunhofer.de/trac/hevc/browser/tags/HM-16.10, accessed May 31, 2016.
  15. K. Suehring and X. Li, "JVET Common Test Conditions and Software Reference Configurations," JVET-B1010, 2016.
  16. ITU, "Methodology for the Subjective Assessment of the Quality of Television Pictures," Geneva, Switzerland, ITU-R BT.500-11, 2002.
  17. Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multiscale Structural Similarity for Image Quality Assessment," Proc. IEEE Asilomar Conf. Signals, Systems, Comput., vol. 2, pp1398-1402, Nov. 2003.