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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 北京,100191
收稿日期:2013-06-23,
修回日期:2013-08-05,
纸质出版日期:2014-06-25
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祝世平, 李丽芸,. 新一代视频编码帧内预测模式选择的优化[J]. 光学精密工程, 2014,22(6): 1686-1695
ZHU Shi-ping, LI Li-yun,. Optimization of intra-prediction mode decision in new generation video coding[J]. Editorial Office of Optics and Precision Engineering, 2014,22(6): 1686-1695
祝世平, 李丽芸,. 新一代视频编码帧内预测模式选择的优化[J]. 光学精密工程, 2014,22(6): 1686-1695 DOI: 10.3788/OPE.20142206.1686.
ZHU Shi-ping, LI Li-yun,. Optimization of intra-prediction mode decision in new generation video coding[J]. Editorial Office of Optics and Precision Engineering, 2014,22(6): 1686-1695 DOI: 10.3788/OPE.20142206.1686.
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0.06 dB),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0.01 dB,压缩性能均有所提高。
An efficient intra prediction method was proposed to decrease the complexity of the video coding of new generation system. Some technologies used in the new generation standard of video coding (High Efficiency Video Coding
HEVC) were introduced
such as angular prediction modes
planar prediction mode
LM prediction mode and the Rate Distortion Optimization(RDO) method for selection of an optimum mode. Firstly
the Sum of Absolute Difference (SAD) was taken as a cost function to process residual errors to obtain optimal RDO initial candidate modes. Then
a simplified rate-distortion cost mode and a Most possible Prediction Mode(MPM) were used to obtain the RDO candidate mode
and the RDO was used to achieve the optimal mode with the least bit rate. Finally
the improved method was verified on the HM 4.0 platform of the HEVC measuring model. Extensive simulation results demonstrate that the proposed method is quite efficient for intra mode prediction speed-up. Compared with the method in HM 4.0
the proposed algorithm reduces the encoding time by 30.18% while the Peak Signal-to Noise Ratio(PSNR) remains almost the same (average reduce 0.06 dB). The bitrate is only reduced by 1.97% on average. Compared with the method in reference [20]
the complexity and the bitrate are reduced by 11.45% and 0.46% respectively
and the PSNR increases by 0.01 dB.
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