{"title":"基于块伪影的数字图像伪造检测","authors":"Wang Zhongmei, Long Yonghong","doi":"10.1109/YCICT.2010.5713093","DOIUrl":null,"url":null,"abstract":"Digital image forgery detection becomes an important research topic now in digital image forensics. JPEG as a popular file form for digital image. DCT transformation and quantization are two main parts of JPEG encoding process. Quantization table is used for quantizing the DCT coefficient and have been proved as an effective feature for image forgery detection. In this paper, we describe an approach to detect digital forgeries by checking inconsistencies of JPEG blocks and measure the block quantization error to get the forgery area. Experiment results also demonstrate the validity of the proposed approach.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Digital image forgeries detection based on blocking artifact\",\"authors\":\"Wang Zhongmei, Long Yonghong\",\"doi\":\"10.1109/YCICT.2010.5713093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital image forgery detection becomes an important research topic now in digital image forensics. JPEG as a popular file form for digital image. DCT transformation and quantization are two main parts of JPEG encoding process. Quantization table is used for quantizing the DCT coefficient and have been proved as an effective feature for image forgery detection. In this paper, we describe an approach to detect digital forgeries by checking inconsistencies of JPEG blocks and measure the block quantization error to get the forgery area. Experiment results also demonstrate the validity of the proposed approach.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713093\",\"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 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital image forgeries detection based on blocking artifact
Digital image forgery detection becomes an important research topic now in digital image forensics. JPEG as a popular file form for digital image. DCT transformation and quantization are two main parts of JPEG encoding process. Quantization table is used for quantizing the DCT coefficient and have been proved as an effective feature for image forgery detection. In this paper, we describe an approach to detect digital forgeries by checking inconsistencies of JPEG blocks and measure the block quantization error to get the forgery area. Experiment results also demonstrate the validity of the proposed approach.
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