{"title":"少而相同:通信鬼成像如何工作","authors":"Zhe Han, Junhui Li, Dongyue Yang, Qian Peng, Huixia Mo, Guohua Wu","doi":"10.1364/COSI.2019.JW2A.12","DOIUrl":null,"url":null,"abstract":"Sensitivity analysis interprets why correspondence ghost imaging can restore better images by fewer reference patterns of larger bucket fluctuation: these selected patterns are the more alike ones with regard to the target.","PeriodicalId":123636,"journal":{"name":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Few but alike: how correspondence ghost imaging works\",\"authors\":\"Zhe Han, Junhui Li, Dongyue Yang, Qian Peng, Huixia Mo, Guohua Wu\",\"doi\":\"10.1364/COSI.2019.JW2A.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensitivity analysis interprets why correspondence ghost imaging can restore better images by fewer reference patterns of larger bucket fluctuation: these selected patterns are the more alike ones with regard to the target.\",\"PeriodicalId\":123636,\"journal\":{\"name\":\"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/COSI.2019.JW2A.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/COSI.2019.JW2A.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Few but alike: how correspondence ghost imaging works
Sensitivity analysis interprets why correspondence ghost imaging can restore better images by fewer reference patterns of larger bucket fluctuation: these selected patterns are the more alike ones with regard to the target.