基于模式分组的帧内预测模式快速选择算法

Fast Selection Algorithm Based on Mode Grouping for Intra Prediction Mode

针对高效率视频编码(HEVC)帧内预测中增加的预测模式引起的的粗选择模式(RMD)与率失真优化(RDO)算法计算复杂度高的问题,充分利用候选模式集中排列第一的预测模式与最优预测模式之间的强相关性,提出了一种基于模式分组的帧内预测模式快速选择算法,有效地降低了HEVC帧内预测算法的计算复杂度。实验表明所提出的算法与HEVC的测试模型HM10.0相比,在保证视频质量和码率基本不变的前提下(码率仅增加了0.78%,Y-PSNR只降低了0.12 d B),减少了41.8%的编码时间,提高了编码效率。

To further reduce the high computational complexity of rough mode decision （RMD） and rate distortion optimization （RDO） resulting from the increasing prediction modes in High Efficiency Video Coding （HEVC） intra prediction,a fast selection algorithm is proposed based on mode grouping for intra prediction mode. On the basis of the strong correlation between the first rank prediction mode in the candidate mode centralized arrangement and the optimal prediction mode, the algorithm reduces the computational complexity apparently. The experimental results show that, compared with HEVC HMI0.0 testing model, the proposed algorithm can save an average 41.8% of encoding time with negligible loss of coding efficiency （ only 0.78% bitrate increasing, and 0.12 dB Y-PSNR loss）, promote the coding efficiency.