[1]洪佳庆,林其伟.采用HEVC的精细可分级编码[J].华侨大学学报(自然科学版),2014,35(3):253-256.[doi:10.11830/ISSN.1000-5013.2014.03.0253]
 HONG Jia-qing,LIN Qi-wei.Fine Granularity Scalable Coding Based on HEVC[J].Journal of Huaqiao University(Natural Science),2014,35(3):253-256.[doi:10.11830/ISSN.1000-5013.2014.03.0253]
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采用HEVC的精细可分级编码()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第3期
页码:
253-256
栏目:
出版日期:
2014-05-16

文章信息/Info

Title:
Fine Granularity Scalable Coding Based on HEVC
文章编号:
1000-5013(2014)03-0253-04
作者:
洪佳庆 林其伟
华侨大学 信息科学与工程学院, 福建 厦门 361021
Author(s):
HONG Jia-qing LIN Qi-wei
College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
关键词:
精细可分级编码 视频编码标准 编码单元 细节区域
Keywords:
fine granularity scalable coding high efficient video coding coding unit detail area
分类号:
TP312
DOI:
10.11830/ISSN.1000-5013.2014.03.0253
文献标志码:
A
摘要:
针对新一代的视频编码标准HEVC(high efficient video coding),提出一种改进的精细可分级编码方案.该方案的基本层采用HEVC的编码器,提高了基本层的编码效率;通过统计编码单元的分割方式,自适应找到图像中的细节区域;采用选择增强技术,提高细节区域的图像质量.实验结果表明:编码方案能够精细匹配信道带宽的变化,且基本层与增强层相互独立,不会带来误差传递;利用HEVC编码单元的分割方式,可以自适应找到视频序列图像中的细节区域,对运动区域进行提升,视频图像的主观质量有了很大的改善.
Abstract:
According to the new generation of video coding standard HEVC(high efficient video coding), an improved scheme of fine granularity scalable coding is proposed. This scheme adopts the HEVC coder in based layer to improve coding efficiency; through statistics the segmentation of coding unit, adaptive find details in the image, by choosing enhanced technology improve the detail area’s quality. The experiment results show that this scheme can match the change of the channel bandwidth well. Because the based layer and enhanced layer are independent of each other, it will not bring error transfer. By using the segmentation of coding unit we can find the details of the image adaptive, and the video image quality can be improved effectively for elevating the moving regions.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-05-10
通信作者: 林其伟(1959-),男,副教授,主要从事视频编码与网络通信的研究.E-mail:qwlin@hqu.edu.cn.
基金项目: 福建省自然科学基金资助项目(2012J0175)
更新日期/Last Update: 2014-05-20