{"title":"SHVC色域可扩展性的鲁棒3D LUT估计方法","authors":"Yuwen He, Yan Ye, Jie Dong","doi":"10.1109/VCIP.2014.7051510","DOIUrl":null,"url":null,"abstract":"Color gamut scalability (CGS) in scalable extensions of High Efficiency Video Coding (SHVC) supports scalable coding with multiple layers in different color spaces. Base layer conveying HDTV video in BT.709 color space and enhancement layer conveying UHDTV video in BT.2020 color space is identified as a practical use case for CGS. Efficient CGS coding can be achieved using a 3D Look-up Table (LUT) based color conversion process. This paper proposes a robust 3D LUT parameter estimation method that estimates the 3D LUT parameters globally using the Least Square method. Problems of matrix sparsity and uneven sample distribution are carefully handled to improve the stability and accuracy of the estimation process. Simulation results confirm that the proposed 3D LUT estimation method can significantly improve coding performance compared with other gamut conversion methods.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Robust 3D LUT estimation method for SHVC color gamut scalability\",\"authors\":\"Yuwen He, Yan Ye, Jie Dong\",\"doi\":\"10.1109/VCIP.2014.7051510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Color gamut scalability (CGS) in scalable extensions of High Efficiency Video Coding (SHVC) supports scalable coding with multiple layers in different color spaces. Base layer conveying HDTV video in BT.709 color space and enhancement layer conveying UHDTV video in BT.2020 color space is identified as a practical use case for CGS. Efficient CGS coding can be achieved using a 3D Look-up Table (LUT) based color conversion process. This paper proposes a robust 3D LUT parameter estimation method that estimates the 3D LUT parameters globally using the Least Square method. Problems of matrix sparsity and uneven sample distribution are carefully handled to improve the stability and accuracy of the estimation process. Simulation results confirm that the proposed 3D LUT estimation method can significantly improve coding performance compared with other gamut conversion methods.\",\"PeriodicalId\":166978,\"journal\":{\"name\":\"2014 IEEE Visual Communications and Image Processing Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Visual Communications and Image Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VCIP.2014.7051510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Visual Communications and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2014.7051510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
高效视频编码(High Efficiency Video Coding, SHVC)的可扩展扩展中的色域可扩展性(CGS)支持在不同颜色空间中进行多层可扩展编码。确定了在BT.709色彩空间中传输HDTV视频的基层和在BT.2020色彩空间中传输UHDTV视频的增强层作为CGS的实际用例。使用基于3D查找表(LUT)的颜色转换过程可以实现高效的CGS编码。提出了一种鲁棒的三维LUT参数估计方法,利用最小二乘法对三维LUT参数进行全局估计。为了提高估计过程的稳定性和准确性,对矩阵稀疏性和样本分布不均匀等问题进行了细致的处理。仿真结果表明,与其他色域转换方法相比,所提出的三维LUT估计方法可以显著提高编码性能。
Robust 3D LUT estimation method for SHVC color gamut scalability
Color gamut scalability (CGS) in scalable extensions of High Efficiency Video Coding (SHVC) supports scalable coding with multiple layers in different color spaces. Base layer conveying HDTV video in BT.709 color space and enhancement layer conveying UHDTV video in BT.2020 color space is identified as a practical use case for CGS. Efficient CGS coding can be achieved using a 3D Look-up Table (LUT) based color conversion process. This paper proposes a robust 3D LUT parameter estimation method that estimates the 3D LUT parameters globally using the Least Square method. Problems of matrix sparsity and uneven sample distribution are carefully handled to improve the stability and accuracy of the estimation process. Simulation results confirm that the proposed 3D LUT estimation method can significantly improve coding performance compared with other gamut conversion methods.