Abstract：Most of the existing region duplication detection algorithms are not robust to the post processing and have high time complexity. Therefore, an efficient and robust algorithm is proposed for detecting and localizing malicious tampering. The dimension of image is firstly reduced by DWT, and the geometric moment is applied to the fixed sized overlapping blocks of low-frequency in wavelet sub-band. Then, the eigenvectors are lexicographically sorted. Finally, the experimental threshold value and mathematical morphology operations are performed to locate the tampered part. The experimental results show that the proposed algorithm successfully detects the tampered image with various post region duplication image processing, including noise contamination and JPEG compression. Furthermore, the proposed algorithm reduces the total number of blocks to decrease time complexity.
王俊文，刘光杰，戴跃伟，王执铨. 一种检测图像Copy-Move篡改鲁棒算法*[J]. 模式识别与人工智能, 2009, 22(4): 630-634.
WANG Jun-Wen, LIU Guang-Jie, DAI Yue-Wei, WANG Zhi-Quan. A Robust Algorithm for Detecting Image Copy-Move Forgery. , 2009, 22(4): 630-634.
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