Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images

@article{Dixit2017ReviewAA,
  title={Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images},
  author={Rahul Dixit and Ruchira Naskar},
  journal={IET Image Processing},
  year={2017},
  volume={11},
  pages={746-759}
}
Copy–move forgery is one of the most preliminary and prevalent forms of modification attack on digital images. In this form of forgery, region(s) of an image is(are) copied and pasted onto itself, and subsequently the forged image is processed appropriately to hide the effects of forgery. State-of-the-art copy–move forgery detection techniques for digital images are primarily motivated toward finding duplicate regions in an image. The last decade has seen lot of research advancement in the area… CONTINUE READING

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