Abstract
We propose a method for detecting the duplicated regions in a digital image. Conventional methods treat only a simple case of translation duplication, whereas we treat a complex duplication accompanied with rotation and/or reversal. The proposed method features rotation invariant image features that can be used to estimate rotation angle and judge whether reversal exists (OK?). We can transform an input image by estimating the rotation angle and/or reversal. In an extended image combining the input and transformed images, pixels with similar features are searched to determine the duplicated location. Experimental results show the effectiveness of the proposed method.
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