D. Damyanov, B. Friederich, J. Kohl, X. Liu, K. Kolpatzeck, T. Schultze, A. Czylwik, J. Balzer, I. Willms
{"title":"Super-Resolution Restoration of Low-Resolution THz Camera Images","authors":"D. Damyanov, B. Friederich, J. Kohl, X. Liu, K. Kolpatzeck, T. Schultze, A. Czylwik, J. Balzer, I. Willms","doi":"10.1109/IWMTS.2019.8823667","DOIUrl":null,"url":null,"abstract":"For the purpose of a high-precision object recognition (OR) system at THz frequencies, a 140 GHz super-resolution imaging system is presented in this paper. Conventional THz camera imaging systems are limited by their pixel numbers resulting in distorted and noisy low-resolution (LR) images hindering the possibility of correct object recognition. In this paper methods for improving the resolution of a 140 GHz camera are proposed based on super-resolution (SR) reconstruction methods typically used for low-cost optical components. The experimental validations are performed with a geometrically complex target.","PeriodicalId":126644,"journal":{"name":"2019 Second International Workshop on Mobile Terahertz Systems (IWMTS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Second International Workshop on Mobile Terahertz Systems (IWMTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWMTS.2019.8823667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
For the purpose of a high-precision object recognition (OR) system at THz frequencies, a 140 GHz super-resolution imaging system is presented in this paper. Conventional THz camera imaging systems are limited by their pixel numbers resulting in distorted and noisy low-resolution (LR) images hindering the possibility of correct object recognition. In this paper methods for improving the resolution of a 140 GHz camera are proposed based on super-resolution (SR) reconstruction methods typically used for low-cost optical components. The experimental validations are performed with a geometrically complex target.