{"title":"Objective quality assessment of depth image based rendering in 3DTV system","authors":"Hang Shao, Xun Cao, Guihua Er","doi":"10.1109/3DTV.2009.5069619","DOIUrl":null,"url":null,"abstract":"In this paper, a novel objective evaluation of depth image based rendering(DIBR) is proposed for the 3D video in format of a monocular video augmented by the gray-scale depth image. The metric is composed of Color and Sharpness of Edge Distortion(CSED) measure. Color distortion measures the luminance loss of the rendered image compared with the reference, and sharpness of edge distortion calculates a depth-weighted proportion of remaining edge to the original edge. Comparing to the conventional quality metrics such as MSE and PSNR, our metric represents not only the color artifact but also the synthesis error with above two aspects. Subjective assessment of the different rendering methods is done as well, and the obtained results show significant agreement with our objective metric.","PeriodicalId":230128,"journal":{"name":"2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video","volume":"16 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2009.5069619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 55
Abstract
In this paper, a novel objective evaluation of depth image based rendering(DIBR) is proposed for the 3D video in format of a monocular video augmented by the gray-scale depth image. The metric is composed of Color and Sharpness of Edge Distortion(CSED) measure. Color distortion measures the luminance loss of the rendered image compared with the reference, and sharpness of edge distortion calculates a depth-weighted proportion of remaining edge to the original edge. Comparing to the conventional quality metrics such as MSE and PSNR, our metric represents not only the color artifact but also the synthesis error with above two aspects. Subjective assessment of the different rendering methods is done as well, and the obtained results show significant agreement with our objective metric.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
