SEGMENTATION-BASED IMAGE COPY-MOVE FORGERY DETECTION SCHEME
An image with copy-move forgery (CMF)
contains at least a couple of regions whose contents are identical. CMF may be
performed by a forger aiming either to cover the truth or to enhance the visual
effect of the image. Normal people might neglect this malicious operation when
the forger deliberately hides the tampering trace. So we are in urgent need of
an effective CMF detection (CMFD) method to automatically point out the clone
regions in the image. And CMFD is becoming one of the most important and
popular digital forensic techniques currently.
Figure. a)Original Image, b)Copy-move Forgery Image c) Detection of CMF region
Digital images are easy to
manipulate and edit due to availability of powerful image processing and
editing software. Nowadays, it is possible to add or remove important features
from an image without leaving any obvious traces of tampering. As digital
cameras and video cameras replace their analog counterparts, the need for
authenticating digital images, validating their content and detecting forgeries
will only increase.
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