基于图像空间相关性与纹理的HEVC块划分快速算法

姚英彪; 李晓娟

doi:10.11959/j.issn.1000-0801.2015006

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基于图像空间相关性与纹理的HEVC块划分快速算法

研究与开发 | 更新时间：2024-06-05

- 基于图像空间相关性与纹理的HEVC块划分快速算法
- Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture
- 电信科学 2015年31卷第1期页码：32-40
- 作者机构：
- 作者简介：
  
  [ "姚英彪，男，博士，杭州电子科技大学副教授，主要研究方向为嵌入式系统的软/硬件设计、并行处理、多媒体系统和无线传感器网络等。" ]
  [ "李晓娟，女，杭州电子科技大学硕士生，主要研究方向为多媒体处理、高效视频编码等。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Ntural Science Foundation of China(61100044);浙江省科技计划基金资助项目;The Science and Technology Program of Zhejiang Province(2013C31100)
- DOI：10.11959/j.issn.1000-0801.2015006
  中图分类号：
- 网络出版日期：2015-01，
  
  纸质出版日期：2015-01-20
- 稿件说明：
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姚英彪, 李晓娟. 基于图像空间相关性与纹理的HEVC块划分快速算法[J]. 电信科学, 2015,31(1):32-40.

Yingbiao Yao, Xiaojuan Li. Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture[J]. Telecommunications science, 2015, 31(1): 32-40.
姚英彪, 李晓娟. 基于图像空间相关性与纹理的HEVC块划分快速算法[J]. 电信科学, 2015,31(1):32-40. DOI： 10.11959/j.issn.1000-0801.2015006.

Yingbiao Yao, Xiaojuan Li. Fast Block Partitioning Algorithm for HEVC Based on Spatial Correlation and Image Texture[J]. Telecommunications science, 2015, 31(1): 32-40. DOI： 10.11959/j.issn.1000-0801.2015006.

摘要

为降低高效率视频编码（HEVC）帧内编码算法复杂度，提出一种基于视频内容空间相关性和纹理复杂度的块划分快速算法。首先，通过分析视频测试序列相邻编码树单元（CTU）之间的划分深度范围的相关性，提出CTU最有可能深度范围（MPDR）的概念及计算方法。其次，通过检测相邻CTU之间的边缘方向分析邻近CTU间的纹理差异，并决定当前待编码CTU的划分深度范围是采用MPDR，还是采用标准规定的0～3。最后，通过统计分析得到纹理复杂的阈值计算式，在每个编码单元（CU）编码之前，通过比较像素方差与阈值来分析该CU的纹理复杂程度，并判断是否可以跳过该深度块的编码计算而直接划分。实验结果表明，与HM13.0原有算法相比，本文算法以编码比特率增加0.84%、峰值信噪比下降0.04 dB为代价，能够将编码时间减少20%左右。

Abstract

In order to reduce the intra coding complexity of HEVC

a fast block partitioning algorithm based on spatial correlation and image texture was proposed. Firstly

a concept of most possible depth range（MPDR）was proposed according to the correlation analysis of adjacent CTU depth range. Secondly

the difference between the current CTU texture and neighboring CTU texture was analyzed by detecting the dominant edge direction. According to the texture difference

the depth range of the current CTU was chose from MPDR and the origin range 0～3. Finally

a formula for texture complex threshold was formed by statistical calculation. Before CU coding

detect the texture complexity of the current CU by comparing the pixel variance and threshold

determine whether or not to skip the current unit coding calculation. Compared with HM13.0

experimental results reveal that the proposed algorithm can save about 20% computational complexity on average whereas the average bit rate increment is 0.84% and the decrement of PSNR is 0.04 dB.

关键词

Keywords

references

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