Journal of Optoelectronics · Laser, Volume. 34, Issue 9, 976(2023)

Research and improvement of H.266 cross-component linear model prediction

RUAN Xiang and YANG Jing*
Author Affiliations
  • [in Chinese]
  • show less

    Aiming at the problem of the high computational complexity of the cross-component linear model (CCLM) in versatile video coding (VVC) intra prediction, this paper proposes an improved algorithm,quick cross-component linear model (QCCLM) based on the CCLM technology.First,the position and number of sub-sampling samples are fixed according to copy adjacent available samples to fill unavailable samples,and remove the redundant processes and additional calculation steps;Then,the luminance down-sampling optimization process is used to reduce the types of down-sampling filters;Finally,the derivation process of the linear model parameter β is improved so as to make the prediction model more accurate.The experimental results show that compared with the standard algorithm of H.266,the algorithm saves 0.14% of the code rate on the chrominance component of the test image sequence in the all intra frames configuration,and the total coding time is reduced by 4.05% on average.The algorithm improves coding performance while reducing coding complexity.

    Tools

    Get Citation

    Copy Citation Text

    RUAN Xiang, YANG Jing. Research and improvement of H.266 cross-component linear model prediction[J]. Journal of Optoelectronics · Laser, 2023, 34(9): 976

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Sep. 20, 2022

    Accepted: --

    Published Online: Sep. 25, 2024

    The Author Email: YANG Jing (jingyang@shmtu.edu.cn)

    DOI:10.16136/j.joel.2023.09.0438

    Topics