T. K. Huynh, K. V. Huynh, T. Le-Tien, Sy C. Nguyen
{"title":"图像伪造检测技术综述","authors":"T. K. Huynh, K. V. Huynh, T. Le-Tien, Sy C. Nguyen","doi":"10.1109/RIVF.2015.7049877","DOIUrl":null,"url":null,"abstract":"The paper presents a survey on Image Forgery Detection (IFD) techniques applied for both Copy-Move and spliced images. The survey attempts to cover involved algorithms over past ten years, classify them in groups having the similar methods to solve problems. For the Copy-Move images, the classification depends on differences in processing input images with or without transformation before extracting the image features. For the spliced images, groups of detection techniques based on image features or camera features are summarized. Achievements, limitations and future works from these techniques are also mentioned in this title as orientations and references for the coming researches as well.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A survey on Image Forgery Detection techniques\",\"authors\":\"T. K. Huynh, K. V. Huynh, T. Le-Tien, Sy C. Nguyen\",\"doi\":\"10.1109/RIVF.2015.7049877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a survey on Image Forgery Detection (IFD) techniques applied for both Copy-Move and spliced images. The survey attempts to cover involved algorithms over past ten years, classify them in groups having the similar methods to solve problems. For the Copy-Move images, the classification depends on differences in processing input images with or without transformation before extracting the image features. For the spliced images, groups of detection techniques based on image features or camera features are summarized. Achievements, limitations and future works from these techniques are also mentioned in this title as orientations and references for the coming researches as well.\",\"PeriodicalId\":166971,\"journal\":{\"name\":\"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIVF.2015.7049877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2015.7049877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a survey on Image Forgery Detection (IFD) techniques applied for both Copy-Move and spliced images. The survey attempts to cover involved algorithms over past ten years, classify them in groups having the similar methods to solve problems. For the Copy-Move images, the classification depends on differences in processing input images with or without transformation before extracting the image features. For the spliced images, groups of detection techniques based on image features or camera features are summarized. Achievements, limitations and future works from these techniques are also mentioned in this title as orientations and references for the coming researches as well.