• DocumentCode
    590275
  • Title

    A novel in-loop filter based on CLDT masking effect model for HEVC

  • Author

    Binji Luo ; Chonghua Liu ; Gong Zhang ; Feng Ye ; Bo Yang

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun, Beijing, China
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    HEVC is the current joint video coding standardization project of ITU-T Video Coding Experts Group and Moving Picture Experts Group. It includes deblocking filter (DF) and adaptive loop filter (ALF) after the deblocking filter. To improve the accuracy, the deblocking filter is modified with the parameter information of intra coded blocks in this paper. Considering that the masking effect of human visual system (HVS) will eliminate the visibility of the blocking artifacts, a combined luminance and directional-texture (CLDT) masking effect model-based DF is proposed. At last, a novel Wiener-based in-loop filter is proposed, which is applied to eliminate the quantization error using both pre-DF signal and post-DF signal. Experimental results show efficiency improvement and subjective quality improvement compared with HEVC test model 2 (HM2.0) anchor.
  • Keywords
    Wiener filters; adaptive filters; image texture; video coding; ALF; CLDT masking effect model; DF; HEVC test model 2 anchor; HM2.0 anchor; HVS masking effect; ITU-T Video Coding Experts Group; Moving Picture Experts Group; Wiener-based in-loop filter; adaptive loop filter; combined luminance-directional-texture masking effect model; deblocking filter; efficiency improvement; human visual system masking effect; intracoded blocks; joint video coding standardization project; post-DF signal; pre-DF signal; quantization error elimination; subjective quality improvement; Adaptive filters; Complexity theory; Encoding; Information filters; Wiener filters; Adaptive loop filter; HEVC; deblcoking filter; human visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410745
  • Filename
    6410745