Yixiao Wang, H. R. Tohidypour, M. Pourazad, P. Nasiopoulos, Victor C. M. Leung
{"title":"Deep Learning-Based HDR Image Upscaling Approach for 8K UHD Applications","authors":"Yixiao Wang, H. R. Tohidypour, M. Pourazad, P. Nasiopoulos, Victor C. M. Leung","doi":"10.1109/ICCE53296.2022.9730460","DOIUrl":null,"url":null,"abstract":"Advances in display technology have led to the introduction of 8K Ultra High Definition (UHD) displays to the consumer market, offering an improved visual experience. However, the lack of 8K High Dynamic Range (HDR) content is a major challenge for the wide adoption. In this paper, we introduce a deep learning approach based on generative adversarial networks to generate 8K UHD HDR content from Full High Definition and 4K content. Benefiting from a multiple-level residual and dense structure, along with a random down-sampling method, our approach yields natural and visually pleasing 8K UHD HDR content with consistent color performance.","PeriodicalId":350644,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics (ICCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE53296.2022.9730460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Advances in display technology have led to the introduction of 8K Ultra High Definition (UHD) displays to the consumer market, offering an improved visual experience. However, the lack of 8K High Dynamic Range (HDR) content is a major challenge for the wide adoption. In this paper, we introduce a deep learning approach based on generative adversarial networks to generate 8K UHD HDR content from Full High Definition and 4K content. Benefiting from a multiple-level residual and dense structure, along with a random down-sampling method, our approach yields natural and visually pleasing 8K UHD HDR content with consistent color performance.