{"title":"iPhone提取半色调点信息的高分辨率成像技术研究","authors":"Lu Luo, Peng Cao, Dazhong Mu","doi":"10.1109/ISI.2017.8004915","DOIUrl":null,"url":null,"abstract":"The data hiding technique based on halftone dot features (spatial position or shape) has a special anti-copy function. However, this function has a very strict demand for image acquisition and authenticity identification. We provide a high-resolution imaging control technology of the macro mode for iPhones based on Xcode tool and ZXing Jar. At the same time, an image resolution estimation algorithm is proposed based on the method of least squares.","PeriodicalId":423696,"journal":{"name":"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on high-resolution imaging technology to extract the halftone-dot-information by iPhone\",\"authors\":\"Lu Luo, Peng Cao, Dazhong Mu\",\"doi\":\"10.1109/ISI.2017.8004915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The data hiding technique based on halftone dot features (spatial position or shape) has a special anti-copy function. However, this function has a very strict demand for image acquisition and authenticity identification. We provide a high-resolution imaging control technology of the macro mode for iPhones based on Xcode tool and ZXing Jar. At the same time, an image resolution estimation algorithm is proposed based on the method of least squares.\",\"PeriodicalId\":423696,\"journal\":{\"name\":\"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2017.8004915\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Intelligence and Security Informatics (ISI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2017.8004915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on high-resolution imaging technology to extract the halftone-dot-information by iPhone
The data hiding technique based on halftone dot features (spatial position or shape) has a special anti-copy function. However, this function has a very strict demand for image acquisition and authenticity identification. We provide a high-resolution imaging control technology of the macro mode for iPhones based on Xcode tool and ZXing Jar. At the same time, an image resolution estimation algorithm is proposed based on the method of least squares.
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