针对数字图像出现的区域克隆安全问题,提出基于局部不变特征及离群检测技术的数字图像区域克隆认证算法。该算法首先通过高斯差分算子检测图像尺度空间中具有局部不变特征的特征点;接着,基于欧氏距离相似性度量和最近邻距离比率匹配策略,通过局部不变特征匹配检测图像区域克隆;最后,通过离群检测验证匹配结果。实验表明,该算法不但对图像区域克隆具有很好的检测效果,而且能有效抵御各种后处理篡改攻击。此外,与现有算法相比,本算法具有较高的计算效率。In order to deal with the security problem of image region cloning,this paper proposed a image region cloning authentication algorithm based on local invariant feature and outlier detection.Firstly,this algorithm detects the point with local invariant feature in the scale space of image by DoG function.Secondly,this algorithm detects the image region cloning by means of local invariant feature match through the similarity measurement of euclidean distance and match policy of nearest neighbor distance ratio.Finally,the algorithm verifies the match results by means of outlier detection.The test results show the algorithm not only can detect the cloned region of image correctly,but also can prevent the different attacks of cloned image efficiently.Besides,the detection speed of cloned image is higher compared with other methods.福建省物联网云计算平台建设项目(2013H2002); 泉州市科技计划项目(2012Z83); 华侨大学教师科研启动基金(12Y0357)资
