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A Survey on Digital Image Copy-Move Forgery Localization Using Passive Techniques 被引量:1
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作者 weijin tan Yunqing Wu +1 位作者 Peng Wu Beijing Chen 《Journal of New Media》 2019年第1期11-25,共15页
Digital images can be tampered easily with simple image editing software tools.Therefore,image forensic investigation on the authenticity of digital images’content is increasingly important.Copy-move is one of the mo... Digital images can be tampered easily with simple image editing software tools.Therefore,image forensic investigation on the authenticity of digital images’content is increasingly important.Copy-move is one of the most common types of image forgeries.Thus,an overview of the traditional and the recent copy-move forgery localization methods using passive techniques is presented in this paper.These methods are classified into three types:block-based methods,keypoint-based methods,and deep learning-based methods.In addition,the strengths and weaknesses of these methods are compared and analyzed in robustness and computational cost.Finally,further research directions are discussed. 展开更多
关键词 Image forgery copy-move forgery localization passive techniques
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