一种检测图像Copy-Move篡改鲁棒算法

A Robust Algorithm for Detecting Image Copy-Move Forgery

针对现有的复制粘贴(Copy-Move)检测算法鲁棒性较差,时间复杂度高,提出一种有效快速的检测与定位篡改区域算法.利用小波变换获取图像低频区域,引入几何矩提取分块鲁棒特征,通过特征向量排序缩小匹配空间,最后通过经验阈值和数学形态学定位篡改区域.实验结果表明该算法不仅能有效抵抗如高斯白噪声、JPEG压缩等常规图像后处理操作,而且减少块总数,算法的时间复杂度大大降低.

Most have high localizing of the existing region duplication detection algorithms are not robust to the post processing and time complexity. Therefore, an efficient and robust algorithm is proposed for detecting and 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.