计算机应用 ›› 2014, Vol. 34 ›› Issue (12): 3560-3564.

• 虚拟现实与数字媒体 • 上一篇    下一篇

基于Hough变换的高效视频编码标准帧内预测模式选择快速算法

董朵,端木春江   

  1. 浙江师范大学 数理与信息工程学院,浙江 金华 321004
  • 收稿日期:2014-07-10 修回日期:2014-08-20 出版日期:2014-12-01 发布日期:2014-12-31
  • 通讯作者: 董朵
  • 作者简介:董朵(1988-),女,山东菏泽人,硕士研究生,主要研究方向:视频编码中的预测技术算法;端木春江(1974-),男,江苏南京人,副教授,博士,主要研究方向:视频压缩、视频信息处理、视频通信、第4代(4G)移动通信关键技术、图像处理。
  • 基金资助:

    国家自然科学基金资助项目;浙江省自然科学基金资助项目

Fast algorithm of high efficiency video coding intra prediction mode decision based on Hough transform

DONG Duo,DUANMU Chunjiang   

  1. College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua Zhejiang 321004, China
  • Received:2014-07-10 Revised:2014-08-20 Online:2014-12-01 Published:2014-12-31
  • Contact: DONG Duo

摘要:

针对高效视频编码标准(HEVC)中帧内预测模式选择计算复杂度极高的问题,提出一种基于Hough变换的HEVC帧内预测模式选择快速算法,该算法可以减少对35种预测模式的遍历次数。首先,在对预测模式进行粗选(RMD)过程之前对各尺寸预测单元(PU)进行边缘检测与Hough变换;其次,采用直方图对检测出来的直线段方向角正切值进行统计分析;最后,从35种模式中选择出RMD和率失真优化(RDO)过程中较适用的候选模式集,并在VS 2008运行环境下用C〖KG-*3〗+〖KG-*3〗+和OpenCV开发应用程序。实验结果表明,所提算法在编码性能稍微有影响的情况下(码率平均升高1.02%,峰值信噪比平均下降0.035dB),编码时间平均减少了23%。所提算法增强了编码器的实时性,适合高分辨率、大尺寸视频应用。

Abstract:

Concerning the problem that the computational complexity associated with intra prediction mode selection in High Efficiency Video Coding (HEVC) is very high, an efficient fast algorithm for HEVC intra prediction mode decision based on Hough transform was proposed, which aimed at reducing the traversed number of the 35 intra prediction modes. Firstly, the edge detection and Hough transform were carried out for the Prediction Units (PU) of various sizes before the Rough Mode Decision (RMD) process. After that, the statistical analysis of the tangent values of detected angles of the straight lines was conducted using the histogram. Finally, the applicable candidate modes were chose for the RMD and Rate-Distortion Optimization (RDO) processes, and the simulation of the proposed algorithm was carried out in the VS 2008 environment using the C++ computer language and the OpenCV libraries. The experimental results show that the encoding time can be reduced by 23% with only a small increase of the code rate of 1.02% and the decrease of peak signal-to-noise ratio of the 0.035dB. The proposed algorithm enhances the real-time performance of the encoder greatly, and it is suitable for the videos with high resolution and large size.

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