摘要
针对高效率视频编码(HEVC)帧内预测中的率失真优化(RDO)算法计算复杂度高的问题,该文提出了一种基于统计学的率失真优化的改进方法。通过对不同量化参数的率失真代价概率分布图产生的阈值进行统计,得到最大编码单元(LCU)划分过程中不同深度的阈值方程,并利用该阈值提前终止编码单元的划分从而达到降低计算复杂度的目的。实验表明该文所提出的改进方法与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0.5%,Y-PSNR只降低了0.019d B),减少了26.7%的编码时间,提高了编码效率。
To further reduce the high computational complexity in High Efficiency Video Coding （HEVC） in- tra prediction, an improved method of rate distortion optimization （RDO） based on statistics was proposed in this paper. Based on statistical analysis of the rate distortion cost under different quantization parameter proba- bilities distribution, threshold equations of different depths in the process of Large Code Unit （LCU） division were given, which were used to end the division of code unit, and then reduce the computational complexity. The experimental results show that, compared with HEVC HM10.0 testing models, the proposed algorithm can save an average 26.7% of encoding time with negligible loss of coding efficiency （ only 0.5% bitrate increas- ing, and 0. 0019 dB Y-PSNR（Y-Peak Signal-to-Noise Ratio） loss） , promoting the coding efficiency.
出处
《西北大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第3期389-393,共5页
Journal of Northwest University（Natural Science Edition）
基金
国家自然科学基金面上项目(61272120)
陕西省自然科学基础研究计划基金资助项目(2013JC2-32)
关键词
HEVC
帧内预测
编码单元划分
率失真优化
HEVC, intra prediction
code unit division
rate distortion optimization
