基于复杂度HEVC码率控制的算法优化

发布时间：2018-04-11 08:07

本文选题：码率控制 + 复杂度　；参考：《光电子.激光》2014年09期

【摘要】：针对视频编码标准HEVC(high efficiency video coding)在编码过程中复杂度较高的帧层带宽相对不足而复杂度较低的帧层带宽相对富余之一的问题,为了降低计算复杂度,提高编码质量,本文首先通过研究复杂度在帧层编码过程中对码率分配的影响,提出了由SATD(sum of absolute transformed difference)构建复杂度模型,根据视频内容每帧的复杂程度,通过复杂度模型对帧层进行合理的比特分配。为了建立R-Q曲线,结合最大编码单元(LCU,largest coding unit)层的编码树特点,根据LCU残差信号的混合高斯分布特性进行量化参数(QP)的计算,从而使得输出码率与目标比特相等的同时尽可能提高视频质量。实验结果表明,所提出的算法比HEVC现行码率控制算法性能更加优良并且具有较强的鲁棒性,码率误差在0.01%以内,PSNR增益平均可达0.21dB。
[Abstract]:In order to reduce the computational complexity and improve the coding quality, the frame layer bandwidth with high complexity is relatively insufficient and the frame layer bandwidth with lower complexity is relatively surplus in the video coding standard HEVC(high efficiency video coding.Firstly, by studying the influence of complexity on rate allocation in frame layer coding, this paper proposes a complexity model based on SATD(sum of absolute transformed difference, which is based on the complexity of each frame of video content.The frame layer is allocated reasonably by the complexity model.In order to establish R-Q curve, the quantization parameter (QP) is calculated according to the mixed Gao Si distribution of LCU residual signal according to the characteristics of the coding tree of the maximum coding unit LCU largest coding unit.Thus, the output bit rate is equal to the target bit and the video quality is improved as much as possible.The experimental results show that the proposed algorithm has better performance than the current rate control algorithm of HEVC and has a strong robustness. The average gain of the proposed algorithm is 0.21 dB within 0.01% of the rate error.
【作者单位】：新型显示技术与应用集成教育部重点实验室;上海大学通信与信息工程学院;
【基金】：国家自然科学基金(61171084、60832003) 上海市青年科技启明星计划(11QA1402400)资助项目
【分类号】：TN919.81

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