基于极坐标正弦变换的Copy-move篡改检测

Copy-move Forgeries Detection Based on Polar Sine Transform

该文使用极坐标正弦变换(PST)特征对图像进行Copy-move篡改检测,将待检测图像转换成灰度图并进行PST特征提取,并采用改进的快速近似最近邻搜索算法PatchMatch对特征描述符进行匹配,以克服匹配全局描述符带来的处理时间较长的缺点。实验分析表明,该文所提方法不仅对图像的线性Copy-move篡改和旋转干扰篡改有很好的效果,而且对噪声和JPEG压缩干扰篡改也具有一定的鲁棒性。最后对综合干扰篡改实验测试发现,在综合篡改幅度较小的情况下,准确率可以达到98.0%。

Polar Sine Transform(PST) is used to detect Copy-move forgeries in the paper,and the image to be detected is transformed into gray scale image and feature extraction is carried out by PST. Improved PatchMatch, a fast approximate nearest neighbor search algorithm, is used to match feature descriptors to overcome the problem of long time consuming caused by matching global descriptors. Experiments show that the proposed method is not only effective for linear Copy-move forgeries and rotation interference forgeries, but also robust to noise and JPEG compression interference forgeries. Finally, the experimental results of synthetic interference forgeries show that the accuracy can reach 98.0% when the synthetic forgeries range is small.