Kyohei Goto, Fumiya Nagashima, T. Goto, S. Hirano, M. Sakurai
{"title":"用于高分辨率显示器的超分辨率","authors":"Kyohei Goto, Fumiya Nagashima, T. Goto, S. Hirano, M. Sakurai","doi":"10.1109/GCCE.2014.7031137","DOIUrl":null,"url":null,"abstract":"We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational time compared with learning-based systems and is suitable for moving pictures such as in televisions.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Super-resolution for high-resolution displays\",\"authors\":\"Kyohei Goto, Fumiya Nagashima, T. Goto, S. Hirano, M. Sakurai\",\"doi\":\"10.1109/GCCE.2014.7031137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational time compared with learning-based systems and is suitable for moving pictures such as in televisions.\",\"PeriodicalId\":145771,\"journal\":{\"name\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2014.7031137\",\"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 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational time compared with learning-based systems and is suitable for moving pictures such as in televisions.