IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of the JND-Suppression Effect in Quantization Perspective for HEVC-based Perceptual Video Coding

  • Kim, Jaeil (Department of Information and Communications, KAIST) ;
  • Kim, Munchurl (Department of Information and Communications, KAIST)
  • Received : 2014.04.05
  • Accepted : 2014.11.19
  • Published : 2015.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Transform-domain JND (Just Noticeable Difference)-based for PVC (Perceptual Video Coding) is often performed in quantization processes to effectively remove perceptual redundancy. This study examined the JND-suppression effects on quantized coefficients of transform in HEVC (High Efficiency Video Coding). To reveal the JND-suppression effect in quantization, the properties of the floor functions were used for modeling the quantized coefficients, and a JND-adjustment process in an HEVC-compliant PVC scheme was used to tune the JND values by analyzing the JND suppression effect. In the experimental results, the bitrate reduction decreases slightly, but the PSNR and perceptual quality are improved significantly when the proposed JND adjustment process is applied.

Keywords

References

  1. 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
  2. J.-R. Ohm, G. J. Sullivan, H. Schwarz, T. K. Tan, 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, no. 12, pp. 1669-1684, Dec. 2012. https://doi.org/10.1109/TCSVT.2012.2221192
  3. Y. Xiaokang, et al., "Motion-compensated residue preprocessing in video coding based on justnoticeable-distortion profile," IEEE Trans. Circuits Syst. Video Technol., vol.15, no. 6, pp. 742-752, Jun. 2005. https://doi.org/10.1109/TCSVT.2005.848313
  4. W. Zhenyu and K. N. Ngan, "Spatio-Temporal Just Noticeable Distortion Profile for Grey 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
  5. Z. Chen and C. Guillemot, "Perceptually-Friendly H.264/AVC Video Coding Based on Foveated Just-Noticeable-Distortion Model," IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 6, pp. 806-819, Jun. 2010. https://doi.org/10.1109/TCSVT.2010.2045912
  6. 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
  7. M. Naccari and F. Pereira, "Integrating a spatial just noticeable distortion model in the under development HEVC codec," Proc IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, pp. 817-820, Prague, Czech Republic, May 2011.
  8. Z. Luo, L. Song, S. Zheng, and N. Ling, "H.264/Advanced Video Control Perceptual Optimization Coding Based on JND-Directed Coefficient Suppression," IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 6, pp. 935-948, Jun. 2013. https://doi.org/10.1109/TCSVT.2013.2240919
  9. J. Kim, M. Kim, "An HEVC-Compliant Perceptual Video Coding Scheme based on JND Models for Variable Block-sized Transform Kernels", IEEE Trans. Circuits Syst. Video Technol., to be published, 2015.
  10. B. M. Stephen, R. Anthony, Discrete Algorithmic Mathematics, Third Edition, CRC Press, 2005.
  11. HM reference software 11.0.