CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Digital image forgery detection based on the consistency of defocus blur
Wang Xin; Xuan Bo; Peng Si-Long; Xin Wang
2008
Conference Name2008 4th International Conference on Intelligent Information Hiding and Multiedia Signal Processing IIH-MSP 2008
Pagespp 192-195
Conference Date2008/8/15-2008/8/17
Conference Place中国Harbin China
AbstractA passive blind digital image forgery detection method was proposed in this paper. Basic defocus model shows that image patches with similar distances to the lens have similar blur kernel sizes. This consistency is broken in image forgery as the result of possible blurring and different imaging conditions. Our forgery detection technique uses local blur estimation at each edge pixels to exposes the defocus blur inconsistency. Experiment results of tampered images from real law cases show the effectiveness of our technique.
Keyword
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12883
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorXin Wang
Recommended Citation
GB/T 7714
Wang Xin,Xuan Bo,Peng Si-Long,et al. Digital image forgery detection based on the consistency of defocus blur[C],2008:pp 192-195.
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