基于编码单元划分的HEVC快速SAO算法

Zhang Zhengyong, Cheng Zhiyun, Pu Peng
{"title":"基于编码单元划分的HEVC快速SAO算法","authors":"Zhang Zhengyong, Cheng Zhiyun, Pu Peng","doi":"10.1109/ICSESS.2015.7339082","DOIUrl":null,"url":null,"abstract":"Sample adaptive offset (SAO) filter algorithm is introduced by HEVC as a completely new stage to improve video quality. It is located after deblocking filter, adding an offset value to each sample based on the reconstructed data and the original YUV. In order to solve the problem of high computational complexity of SAO, a fast S AO algorithm based on coding unit partition is proposed in this paper. Evaluating the texture complexity of coding unit by the depth of block partitioning, and only the complex coding unit performed the S AO filter. Simulation results show that, compared with the HEVC conference software HM9.0, the proposed algorithm can reduce about 44.55% encoding time up to 83.68%, while it suffers from negligible on PS NR performance.","PeriodicalId":335871,"journal":{"name":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A fast SAO algorithm based on coding unit partition for HEVC\",\"authors\":\"Zhang Zhengyong, Cheng Zhiyun, Pu Peng\",\"doi\":\"10.1109/ICSESS.2015.7339082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sample adaptive offset (SAO) filter algorithm is introduced by HEVC as a completely new stage to improve video quality. It is located after deblocking filter, adding an offset value to each sample based on the reconstructed data and the original YUV. In order to solve the problem of high computational complexity of SAO, a fast S AO algorithm based on coding unit partition is proposed in this paper. Evaluating the texture complexity of coding unit by the depth of block partitioning, and only the complex coding unit performed the S AO filter. Simulation results show that, compared with the HEVC conference software HM9.0, the proposed algorithm can reduce about 44.55% encoding time up to 83.68%, while it suffers from negligible on PS NR performance.\",\"PeriodicalId\":335871,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2015.7339082\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2015.7339082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

采样自适应偏移(SAO)滤波算法是HEVC引入的一个提高视频质量的全新阶段。它位于去块滤波之后,根据重构数据和原始YUV对每个样本添加一个偏移值。为了解决SAO计算复杂度高的问题,提出了一种基于编码单元划分的快速SAO算法。通过块分割深度评估编码单元的纹理复杂度,仅对复杂编码单元进行S AO滤波。仿真结果表明,与HEVC会议软件HM9.0相比,该算法可将编码时间减少约44.55%,达到83.68%,而对PS NR性能的影响可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fast SAO algorithm based on coding unit partition for HEVC
Sample adaptive offset (SAO) filter algorithm is introduced by HEVC as a completely new stage to improve video quality. It is located after deblocking filter, adding an offset value to each sample based on the reconstructed data and the original YUV. In order to solve the problem of high computational complexity of SAO, a fast S AO algorithm based on coding unit partition is proposed in this paper. Evaluating the texture complexity of coding unit by the depth of block partitioning, and only the complex coding unit performed the S AO filter. Simulation results show that, compared with the HEVC conference software HM9.0, the proposed algorithm can reduce about 44.55% encoding time up to 83.68%, while it suffers from negligible on PS NR performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信