• DocumentCode
    1228172
  • Title

    High-Fidelity RGB Video Coding Using Adaptive Inter-Plane Weighted Prediction

  • Author

    Kim, Yong-Hwan ; Choi, Byeongho ; Paik, Joonki

  • Author_Institution
    Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea
  • Volume
    19
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    1051
  • Lastpage
    1056
  • Abstract
    This letter presents an efficient video coding algorithm in the RGB color space. Currently, most video coding algorithms are based on a decorrelated color space such as YUV or YCbCr, which has reduced inter-color redundancy. For high-fidelity video applications, however, it is essential to maintain the original signal fidelity without any mismatch in color space conversion. In this context, the H.264/AVC High 4:4:4 Intra/Predictive profiles support the RGB color space to satisfy increasing demand for high-fidelity video coding. However, very little effort has been made to utilize inter-color correlation to increase RGB coding efficiency. In pursuit of both high-fidelity and coding efficiency, we propose an adaptive inter-plane-weighted prediction algorithm exploiting inter-color redundancy of the RGB signal. We integrate the proposed algorithm into H.264/AVC High 4:4:4 Intra/Predictive profile reference software for simulation, and show that the proposed algorithm increases RGB video coding efficiency at average 0.80 dB and 0.75 dB, compared with the existing H.264/AVC High 4:4:4 Intra profile RGB and YCbCr 4:4:4 coding, respectively.
  • Keywords
    image colour analysis; video coding; H.264/AVC; RGB color space; adaptive interplane weighted prediction; color space conversion; intra/predictive profile reference software; video coding; H264/AVC; RGB video coding; inter-color correlation; inter-plane prediction;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2020251
  • Filename
    4811977