A Review on Copy Move Image Forgery Detection Techniques

被引:18
|
作者
Qureshi, M. Ali [1 ]
Deriche, M. [1 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran, Saudi Arabia
来源
2014 11TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD) | 2014年
关键词
D O I
10.1109/SSD.2014.6808907
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. It is now possible to add, modify, or remove important features from an image without leaving any perceptual traces of tampering. With more than several million pictures uploaded daily to the net, and the introduction of e-Government services, it is becoming important to develop robust detection methods to identify image tampering operations. To this end, image forensics techniques aim at restoring trust and acceptance in digital media by uncovering tampering methods. Such detection techniques are the focus of this paper. In particular, we provide a survey of different forging detection techniques with a focus on copy and move approaches.
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页数:5
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