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In this paper, a novel image forensics method is proposed to detect manual blurred edges from a tampered image. Firstly, the image edges are analyzed by using non-subsampled contourlet transform. Then the differences between the normal edge and the blurred edge are extracted by researching phase congruency and prediction-error image. After that, the features are used to train the SVM, by which the...
Due to the widespread use of sophisticated imaging tools, digital image forgeries have already become a serious social problem. In this paper, we proposes an efficient and robust algorithm for detection of a specific category of digital image forgery known as region duplication forgery, which is done by copying a block of an image and pasting it on to some other block of the same image. The image...
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