TY  - EJOU
AU  - Tan, Weijin  
AU  - Wu, Yunqing  
AU  - Wu, Peng  
AU  - Chen, Beijing  

TI  - A Survey on Digital Image Copy-Move Forgery Localization Using Passive Techniques
T2  - Journal of New Media

PY  - 2019
VL  - 1
IS  - 1
SN  - 2579-0129

AB  - 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.
KW  - Image forgery
KW  -  copy-move
KW  -  forgery localization
KW  -  passive techniques

DO  - 10.32604/jnm.2019.06219