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作 者:WANG Bo KONG Xiangwei Elisa Bertino FU Haiyan
机构地区:[1]Department of Electronic and Information Engineering, DaIian University of Technology, Dalian 116023, China [2]CERIAS and Computer Science Department, Purdue University, West Lafayette, Indiana, 47907-2067, USA
出 处:《Chinese Journal of Electronics》2009年第3期487-490,共4页电子学报(英文版)
基 金:This work is supported by the National High Technology Research and Development Program of China (863 Program) (No.2008AA01Z418) and the National Natural Science Foundation of China (No.60572111).
摘 要:Exposing digital image forgeries is a major challenge for photography authentication and forensics investigations which aims at proving the authenticity of digital photos. In this paper, we introduce a digital image forensics approach based on color coherence to exposing copy-paste-blur forgeries. We first discuss the inherent color coherence introduced by imaging pipeline, and then obtain several statistical features from the coherence char- acterization. Using the SVM classifier, we reveal traces of copy-paste-blur tampering in photographic forgeries. Experimental results indicate that the proposed method can effectively expose the copy-paste-blur forgeries and localize the tampered regions with high accuracy.
关 键 词:Digital image forensics Photographic forgery Color coherence Copy-paste-blur tampering Feature extraction.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置] D918.92[自动化与计算机技术—控制科学与工程]
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