• DocumentCode
    2278002
  • Title

    Unified loop filter for high-performance video coding

  • Author

    Liu, Yu ; Huo, Yan

  • Author_Institution
    Hong Kong Appl. Sci. & Technol. Res. Inst. (ASTRI), Shatin, China
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    1271
  • Lastpage
    1276
  • Abstract
    In this paper, we propose a unified loop filter for high-performance video coding, which suppresses the quantization noise optimally and improves the objective and subjective quality of the reconstructed picture simultaneously. The proposed filter unifies nonlinear enhancement filter (for removing blocking and ringing artifacts) and linear restoration filter (for improving coding efficiency) within the classical optimization framework of least mean square error (LMSE). Experimental results show that the proposed unified loop filter achieves on average 11.53% objective coding gain in combination with better visual quality improvement around edges and textures, compared with H.264/AVC High Profile.
  • Keywords
    filtering theory; image enhancement; image restoration; least mean squares methods; optimisation; quantisation (signal); video coding; classical optimization framework; coding efficiency improvement; high performance video coding; least mean square error; linear restoration filter; nonlinear enhancement filter; quantization noise; unified loop filter; visual quality improvement; Automatic voltage control; Encoding; Mean square error methods; Optimization; Pixel; Quantization; Vectors; Unified loop filter; least mean square error; linear restoration filter; nonlinear enhancement filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2010 IEEE International Conference on
  • Conference_Location
    Suntec City
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-7491-2
  • Type

    conf

  • DOI
    10.1109/ICME.2010.5582600
  • Filename
    5582600