{"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}
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.