{"title":"未来太赫兹相机的分辨率能力","authors":"J. Lizarraga, Carlos DEL-RIO","doi":"10.1109/IWAT.2010.5464641","DOIUrl":null,"url":null,"abstract":"THz technology for developing imaging systems has recently aroused great interest, mainly due to the large number of applications in which these frequencies can be used: security, vision in hard environments, etc. In this paper we propose a method that reduces significantly the number of detectors needed for achieving certain resolution by means of diffraction that paradoxically is its main limiting factor in current imaging devices. The method uses diffraction as a way of achieving spatial diversity and as an anti-aliasing LPF. Some examples of images are provided in the paper, showing that despite the blur created by the diffraction, it is possible firstly to sample this slow variance image, secondly, to interpolate it and finally to recover the original image.","PeriodicalId":125732,"journal":{"name":"2010 International Workshop on Antenna Technology (iWAT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Resolution capabilities of future THz cameras\",\"authors\":\"J. Lizarraga, Carlos DEL-RIO\",\"doi\":\"10.1109/IWAT.2010.5464641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"THz technology for developing imaging systems has recently aroused great interest, mainly due to the large number of applications in which these frequencies can be used: security, vision in hard environments, etc. In this paper we propose a method that reduces significantly the number of detectors needed for achieving certain resolution by means of diffraction that paradoxically is its main limiting factor in current imaging devices. The method uses diffraction as a way of achieving spatial diversity and as an anti-aliasing LPF. Some examples of images are provided in the paper, showing that despite the blur created by the diffraction, it is possible firstly to sample this slow variance image, secondly, to interpolate it and finally to recover the original image.\",\"PeriodicalId\":125732,\"journal\":{\"name\":\"2010 International Workshop on Antenna Technology (iWAT)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Workshop on Antenna Technology (iWAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWAT.2010.5464641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Workshop on Antenna Technology (iWAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWAT.2010.5464641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
THz technology for developing imaging systems has recently aroused great interest, mainly due to the large number of applications in which these frequencies can be used: security, vision in hard environments, etc. In this paper we propose a method that reduces significantly the number of detectors needed for achieving certain resolution by means of diffraction that paradoxically is its main limiting factor in current imaging devices. The method uses diffraction as a way of achieving spatial diversity and as an anti-aliasing LPF. Some examples of images are provided in the paper, showing that despite the blur created by the diffraction, it is possible firstly to sample this slow variance image, secondly, to interpolate it and finally to recover the original image.