摘要
新一代视频编码标准HEVC硬件实现的复杂性较之以前的标准有大幅提高.在保证编码性能的前提下,为了降低硬件实现的复杂度和资源消耗,提高硬件的处理速度与并行度,提出一种面向硬件实现的HEVC帧内编码快速算法.首先在Hadamard-SATD基础上引入头比特估计,简化了率失真代价计算过程;然后使用同层相邻块的最佳模式作为最有可能模式列表的输入,解除计算预测值时对重构数据的依赖性,提高了硬件的处理速度;最后采用新的预测单元处理顺序和基于16点的硬件复用结构,使之更利于硬件实现的情况下减少硬件资源的使用.实验结果表明,与参考软件HM16.7相比,文中算法可以降低约40%的编码复杂度,且没有明显性能损失;在Xilinx的Virtex6综合结果表明,硬件面积比已有算法减少了45%左右,并且可以达到30帧/s 1 080p视频序列的实时编码要求.
The complexity of hardware implementation of the new generation video coding standard HEVC has been greatly improved compared with the previous standards.Under the premise of ensuring coding performance,in order to reduce the complexity and resource consumption of hardware implementation and improve the processing speed and parallelism of hardware,a hardware-oriented HEVC intra-frame coding fast algorithm is proposed.The head bit estimation is introduced based on Hadamard-SATD,which simplifies the calculation process of rate distortion cost.The best mode of the same layer neighboring block is used as the input of the MPM,and the dependence on the reconstructed data is removed when the predicted value is calculated,and hence the processing speed of hardware increases; The utilization of new Prediction Unit processing sequence and 16-point based hardware multiplexing structure makes it more effective to reduce the usages of hardware resources.The proposed algorithm can reduce the coding complexity by about 40% without obvious performance loss compared with HM16.7.Simulations conducted in Xilinx Virtex 6 show that the proposed algorithm is able to achieve real-time encoding requirements of 30 fps 1080p and the required hardware area can be reduced by about 45% compared with the existing literature.
作者
杨秀芝
赵敏
施隆照
陈志峰
郑明魁
Yang Xiuzhi;Zhao Min;Shi Longzhao;Chen Zhifeng;Zheng Mingkui(College of Physics and Information Engineering,Fuzhou University,Fuzhou 350116)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2019年第1期158-164,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61671153)
福州大学基金(XRC-1601)
关键词
高效视频编码
帧内预测
硬件实现
high efficiency video coding
intra prediction
hardware implementation
作者简介
杨秀芝(1963-),女,硕士,教授,硕士生导师,主要研究方向为图像与视频信号处理、数字电视系统、FPGA设计;赵敏(1993-),女,硕士研究生,主要研究方向为图像与视频信号处理;施隆照(1968-),男,硕士,教授,硕士生导师,论文通讯作者,主要研究方向为图像与视频信号处理、视频编码技术、数字集成电路设计,slz@fzu.edu.cn;陈志峰(1979-),男,博士,教授,博士生导师,主要研究方向为视频压缩与传输、图像与视频信号处理、机器学习、计算机视觉;郑明魁(1976-),男,博士,副教授,硕士生导师,主要研究方向为视觉特性视频编码、多媒体通信等
