广东工业大学学报 ›› 2015, Vol. 32 ›› Issue (04): 132-137.doi: 10.3969/j.issn.1007-7162.2015.04.024

• 综合研究 • 上一篇    下一篇

HEVC快速帧内模式和深度决策算法

伍冠健,宋立锋   

  1. 广东工业大学 信息工程学院,广东 广州 510006
  • 收稿日期:2014-11-19 出版日期:2015-12-04 发布日期:2015-12-04
  • 作者简介:伍冠健(1989-),男,硕士研究生,主要研究方向为嵌入式网络多媒体技术及视频编解码算法.
  • 基金资助:

    广东省教育部产学研结合项目(2009B090300436)

Fast Intra Mode and Depth Decision Algorithm for HEVC

Wu Guan-jian, Song Li-feng   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2014-11-19 Online:2015-12-04 Published:2015-12-04

摘要: 针对HEVC帧内预测过程计算复杂度较大的问题,提出基于隔点模式抽取、像素梯度统计和子PU残差相对比的快速帧内预测算法.对应HEVC的33种帧内角度模式,按区间划分33类梯度方向并计算PU各个像素的梯度方向.先对偶数编号的角度模式计算排序,再快速比较得到候选模式集.然后根据所属各类梯度方向的像素累计个数,舍弃部分候选模式.在计算当前PU的哈达玛变换预测残差(Sum of Absolute Transformed Difference, SATD)的同时,记录该PU内4个子PU的SATD,并通过对这4个SATD之间的相对比,跳过当前PU之后深度的计算.实验结果表明,与HEVC标准测试模型HM13.0的算法相比,本文所提出的算法可节省约54%的帧内编码时间,而码率只有约1%的增加.

关键词: HEVC; 帧内预测; 隔点模式抽取; 像素梯度; 子PU残差; 快速算法

Abstract: A fast algorithm based on interlaced extracting modes, statistics of pixel gradient and residual of sub-CU for intra prediction in High Efficiency Video Coding (HEVC) is presented in this paper. Corresponding to 33 intra angle modes in HEVC, gradient directions are divided into 33 classes. And gradient direction of every pixel in a CU is calculated. Angle modes with even number are calculated and ranked firstly, then the set of candidate mode is gained by fast comparison. According to the cumulative number of pixels in every class of gradient direction, some candidate modes can be rejected. When calculating Hadamard Transform predicted residual (SATD) of current PU, SATDs of the four sub-PUs are noted. According the relative ratio of them, the traversal calculation of next depth of current PU is rejected. Experimental results show that, compared with HM13.0, the proposed method performs about 54% time saving of intra encoding with only 1% increment on the total rate.

Key words: high efficiency video coding (HEVC); intra prediction; interlaced extracting mode; pixel gradient; residual of sub-PU; fast algorithm

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