现有检测方法大多对图像区域复制粘贴篡改的后处理操作鲁棒性不高。针对这种篡改技术,提出一种新的基于圆谐-傅里叶矩的区域篡改检测算法。首先将图像分为重叠的小块;然后提取每个图像块的圆谐-傅里叶矩作为特征向量并对其进行排序;最后根据阈值确定相似块,利用位移矢量阈值去除错误相似块以定位篡改区域。实验结果表明,该算法能有效抵抗噪声、高斯模糊、旋转等图像后处理操作,且与基于HU矩的方法相比有更好的检测结果。

Most existing forgery detection algorithms have the weak robustness to post-processing operations of the copy-move forgery regions. For the detection of image regions forged by copy-move, we propose a detection algorithm based on radial harmonic Fourier moments in this paper. First, the detected image is divided into multiple overlapping blocks with the same size. Second, radial harmonic Fourier moments of each block are extracted as a feature vector and all extracted vectors are sorted. Last, the similar blocks are determined by a pre-established threshold, the error similar blocks are eli-minated by using a threshold of the displacement vector, and the tampered region is located. Experimental results show that the proposed algorithm deals well with various post-processing operations of image region copy-move forgery, including noise addition, blurring, rotation, translation and so on. In addition, our algorithm has a better detection rate than that of HU moment-based method.