{"title":"LOCAL METHOD OF COLOR-DIFFERENCE CORRECTION BETWEEN STEREOSCOPIC-VIDEO VIEWS","authors":"S. Lavrushkin, Vitaliy Lyudvichenko, D. Vatolin","doi":"10.1109/3DTV.2018.8478453","DOIUrl":null,"url":null,"abstract":"Many factors can cause color distortions between stereoscopic views during 3D-video shooting. Numerous viewers experience discomfort and headaches when watching stereoscopic videos that contain such distortions. In addition, 3D videos with color differences are hard to process because many algorithms assume brightness constancy.We propose an automatic method for correcting color distortions between stereoscopic views and compare it with analogs. The comparison shows that our proposed method combines high color-correction accuracy with relatively low computational complexity.","PeriodicalId":267389,"journal":{"name":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","volume":"66 11","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2018.8478453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Many factors can cause color distortions between stereoscopic views during 3D-video shooting. Numerous viewers experience discomfort and headaches when watching stereoscopic videos that contain such distortions. In addition, 3D videos with color differences are hard to process because many algorithms assume brightness constancy.We propose an automatic method for correcting color distortions between stereoscopic views and compare it with analogs. The comparison shows that our proposed method combines high color-correction accuracy with relatively low computational complexity.
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