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SEGEMENTATION-BASED IMAGE COPY-MOVE FORGERY DETECTION METHOD WITH CONSIDERATION OF SPATIAL CORRELATION

In this paper, we improve an existing scheme of detecting the copy-move forgery. The main difference between our method and prior arts is that we seek spatial correlation in the test image. Our method has 4 stages. In the first stage, we segment test image. In second stage, we find the suspicious pairs and group them into suspicious groups by their spatial correlation, and then find a transform matrix between them. In third stage, we refine the transform matrix from step two by an iterated algorithm. In the last step, we use mix DSIFT feature approach and ZNCC feature approach and get a better estimation of copy-move forgery regions.