基于特征匹配的图像真伪检测方法的研究  

Research of Image Authenticity Detection Method Based on Feature Matching

作　　者：华蓓[1] 陈前 黄汝维[1] HUA Bei;CHEN Qian;HUANG Ruwei(School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China)

机构地区：[1]广西大学计算机与电子信息学院,广西南宁530004

出　　处：《郑州大学学报（工学版）》2022年第2期22-27,共6页Journal of Zhengzhou University（Engineering Science）

基　　金：国家自然科学基金资助项目(62062009)。

摘　　要：针对基于SIFT特征匹配的图像篡改检测算法存在篡改区域定位不清晰,以及SIFT误匹配现象会对篡改区域分辨造成干扰的问题,提出一种基于数学形态学和特征匹配的图像篡改区域定位方法。首先在尺度空间上对图像进行极值检测,对图像特征关键点进行定位,确定图像梯度方向,形成特征点描述子;然后基于欧式距离对特征描述子进行两两匹配形成块匹配,以进行篡改区域粗略定位,并通过数学形态学方法去除冗余匹配块;随后提取疑似区域对的SIFT特征点,对SIFT特征矩阵进行主成分分析(PCA)降维后进行特征点匹配,使用相关性系数对匹配的特征点进行提纯;最后根据匹配的特征点的分布对篡改区域进行重新定位,精确定位复制-粘贴区域。实验选取1组有代表性的图像,加入复制-粘贴和旋转缩放攻击后进行检测。结果表明:所提算法能够更精确地对复制-粘贴篡改区域的位置进行定位,对图像复制-粘贴篡改检测具有更高的准确性。In view of the problem that the tamper detection algorithm based on SIFT feature matching had,such as unclear location of tamper region and interference of SIFT mismatch on tamper region resolution,a method of image tamper location based on mathematical morphology and feature matching was proposed.The method detects the extreme value of the image in the scale space,locate the key points of the image features,determine the gradient direction of the image,and form the feature point descriptor.Then based on the Euclidean distance,the feature descriptors were matched by two matching blocks,the tamper region is roughly located,and the redundant matching block was removed by mathematical morphology.SIFT feature point of suspected region pairs are extracted,the feature points were matched after PCA dimensionality reduction of SIFT feature matrix,and the matched feature points were purified by using the correlation coefficient.Finally,according to the distribution of matching feature points,the tampered area is relocated to accurately obtain the copy-move tamper area.In the experiment,a group of representative images were selected and detected after adding copy-move,rotation and zooming attacks.The results showed that the prorosed method could locate the location of the copy-move tamper area more accurately,and had higher accuracy in the image copy-move tamper detection.

关 键 词：图像篡改检测 复制-粘贴篡改 特征匹配 数学形态学 篡改区域定位 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]