Robust copy-move image forgery detection using undecimated wavelets and Zernike moments

In this paper, we propose a robust copy-move image forgery detection method using undecimated wavelets transform (UWT) and Zernike moments (ZM). Image forgery detection is crucial to determine the authenticity of images. In copy-move image forgery, a region of image is copied and pasted to another region of the same image. While doing this, the copied region may be scaled, translated, or rotated. UWT is translation invariant, while ZM is scale and rotation invariant. In the proposed method, first UWT is applied on the image to find its approximation. Then ZMs are extracted from the approximation. The similarity of the moments between the blocks of an image is compared using Euclidean distance. Similar blocks are then labeled as copied and pasted blocks. Experimental results show that the proposed image forgery detection method performs better than some of the existing techniques.

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