{"title":"利用三种颜色波段的信息构建指纹,用于源相机识别","authors":"Yongjian Hu, Chang-Tsun Li, Chao Jian","doi":"10.1145/1877972.1878001","DOIUrl":null,"url":null,"abstract":"The imaging sensor (e.g., CCD, CMOS) pattern noise is a noise-like spread-spectrum signal that mainly consists of the photo-response non-uniformity (PRNU) noise. Since each camera has a unique PRNU, the PRNU becomes a popular fingerprint for source camera identification. Current fingerprints are built based on one color band. To better reflect the intrinsic characteristics of the camera, this work explores the way to build fingerprints based on three color bands of an image.","PeriodicalId":355677,"journal":{"name":"MiFor '10","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Building fingerprints with information from three color bands for source camera identification\",\"authors\":\"Yongjian Hu, Chang-Tsun Li, Chao Jian\",\"doi\":\"10.1145/1877972.1878001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The imaging sensor (e.g., CCD, CMOS) pattern noise is a noise-like spread-spectrum signal that mainly consists of the photo-response non-uniformity (PRNU) noise. Since each camera has a unique PRNU, the PRNU becomes a popular fingerprint for source camera identification. Current fingerprints are built based on one color band. To better reflect the intrinsic characteristics of the camera, this work explores the way to build fingerprints based on three color bands of an image.\",\"PeriodicalId\":355677,\"journal\":{\"name\":\"MiFor '10\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MiFor '10\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1877972.1878001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MiFor '10","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1877972.1878001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building fingerprints with information from three color bands for source camera identification
The imaging sensor (e.g., CCD, CMOS) pattern noise is a noise-like spread-spectrum signal that mainly consists of the photo-response non-uniformity (PRNU) noise. Since each camera has a unique PRNU, the PRNU becomes a popular fingerprint for source camera identification. Current fingerprints are built based on one color band. To better reflect the intrinsic characteristics of the camera, this work explores the way to build fingerprints based on three color bands of an image.