新一代视频编码帧内预测模式选择的优化
发布时间:2018-12-10 19:36
【摘要】:提出了一种基于图像相关性和最优模式概率统计的帧内预测优化算法,用于降低视频编码的复杂度。首先,介绍了新一代视频编码标准(HEVC)帧内预测算法中的Angular预测模式、Planar预测模式、LM预测模式,以及帧内率失真代价最优化(RDO)计算方法。采用绝对误差和(SAD)作为代价函数处理残差,初步筛选得到最佳候选预测模式,然后利用简化率失真代价模型与最有可能预测模式(MPM)判断得到RDO候选预测模式,利用RDO得到最佳预测模式。最后在HEVC测试模型HM4.0的平台上对改进算法进行验证,并采用不同分辨率的视频序列进行了仿真实验。实验结果表明:在峰值信噪比(PSNR)影响可以忽略的情况下(平均降低0.06dB),提出的帧内预测优化算法比HM4.0中方法的压缩时间平均减少了30.18%,码率平均增加了1.97%。与文献[20]提出的帧内预测编码方法相比,其复杂度平均减少了11.45%,码率平均减少了0.46%,PSNR平均增加了0.01dB,压缩性能均有所提高。
[Abstract]:An intraframe prediction optimization algorithm based on image correlation and optimal mode probability statistics is proposed to reduce the complexity of video coding. Firstly, the Angular prediction mode, Planar prediction mode, LM prediction mode and (RDO) calculation method of intra-frame rate-distortion cost optimization are introduced in the new generation video coding standard (HEVC) intra prediction algorithm. Using absolute error and (SAD) as cost function to deal with residual error, the best candidate prediction model is obtained, and then the simplified rate-distortion cost model and the most probable prediction model (MPM) are used to judge the RDO candidate prediction model. The best prediction model is obtained by using RDO. Finally, the improved algorithm is verified on the platform of HEVC test model HM4.0, and the simulation experiment is carried out with different resolution video sequences. The experimental results show that under the condition that the PSNR (PSNR) effect can be neglected (average reduction of 0.06dB), the average compression time of the proposed intra-prediction optimization algorithm is 30.18 less than that of the HM4.0 method. The average bit rate increased by 1.97. Compared with the intra prediction coding method proposed in reference [20], its complexity is reduced by 11.455.The average bit rate is reduced by 0.46 and PSNR is increased by 0.01dB, and the compression performance is improved.
【作者单位】: 北京航空航天大学仪器科学与光电工程学院测控与信息技术系;
【基金】:国家自然科学基金资助项目(No.61375025,No.61075011,No.60675018) 教育部留学回国人员科研启动基金资助项目
【分类号】:TN919.81
[Abstract]:An intraframe prediction optimization algorithm based on image correlation and optimal mode probability statistics is proposed to reduce the complexity of video coding. Firstly, the Angular prediction mode, Planar prediction mode, LM prediction mode and (RDO) calculation method of intra-frame rate-distortion cost optimization are introduced in the new generation video coding standard (HEVC) intra prediction algorithm. Using absolute error and (SAD) as cost function to deal with residual error, the best candidate prediction model is obtained, and then the simplified rate-distortion cost model and the most probable prediction model (MPM) are used to judge the RDO candidate prediction model. The best prediction model is obtained by using RDO. Finally, the improved algorithm is verified on the platform of HEVC test model HM4.0, and the simulation experiment is carried out with different resolution video sequences. The experimental results show that under the condition that the PSNR (PSNR) effect can be neglected (average reduction of 0.06dB), the average compression time of the proposed intra-prediction optimization algorithm is 30.18 less than that of the HM4.0 method. The average bit rate increased by 1.97. Compared with the intra prediction coding method proposed in reference [20], its complexity is reduced by 11.455.The average bit rate is reduced by 0.46 and PSNR is increased by 0.01dB, and the compression performance is improved.
【作者单位】: 北京航空航天大学仪器科学与光电工程学院测控与信息技术系;
【基金】:国家自然科学基金资助项目(No.61375025,No.61075011,No.60675018) 教育部留学回国人员科研启动基金资助项目
【分类号】:TN919.81
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