{"title":"用于高时空分辨率成像的视频生成","authors":"T. Imagawa, T. Azuma, K. Nobori, H. Motomura","doi":"10.1109/ICCE.2009.5012167","DOIUrl":null,"url":null,"abstract":"We propose a color video generation method for spatio-temporal high-resolution video imaging in dark conditions. The proposed method consists of two steps. First, RGB-separated video sequences with different spatio-temporal resolution sets are captured to increase the amount of captured light. Second, a high spatio-temporal resolution color video is reconstructed from those input video sequences in the regularization framework. We show the advantages of our method using a prototype camera system and simulation results.","PeriodicalId":154986,"journal":{"name":"2009 Digest of Technical Papers International Conference on Consumer Electronics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Video generation for high spatio-temporal resolution imaging\",\"authors\":\"T. Imagawa, T. Azuma, K. Nobori, H. Motomura\",\"doi\":\"10.1109/ICCE.2009.5012167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a color video generation method for spatio-temporal high-resolution video imaging in dark conditions. The proposed method consists of two steps. First, RGB-separated video sequences with different spatio-temporal resolution sets are captured to increase the amount of captured light. Second, a high spatio-temporal resolution color video is reconstructed from those input video sequences in the regularization framework. We show the advantages of our method using a prototype camera system and simulation results.\",\"PeriodicalId\":154986,\"journal\":{\"name\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2009.5012167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Digest of Technical Papers International Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2009.5012167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video generation for high spatio-temporal resolution imaging
We propose a color video generation method for spatio-temporal high-resolution video imaging in dark conditions. The proposed method consists of two steps. First, RGB-separated video sequences with different spatio-temporal resolution sets are captured to increase the amount of captured light. Second, a high spatio-temporal resolution color video is reconstructed from those input video sequences in the regularization framework. We show the advantages of our method using a prototype camera system and simulation results.