基于LBP的图像复制篡改检测  

DETECTION OF IMAGE DUPLICATION FORGERY BASED ON LOCAL BINARY PATTERN

作　　者：欧红玉[1,2] 陈曦[3] 宋燕辉[1,2] 孔凡凤[2] 

机构地区：[1]华中科技大学湖北武汉430074 [2]长沙通信职业技术学院湖南长沙410115 [3]长沙理工大学湖南长沙410114

出　　处：《计算机应用与软件》2013年第9期170-172,178,共4页Computer Applications and Software

基　　金：湖南省自然科学基金项目(09JJ3120);湖南省教育厅科学研究项目(08C103)

摘　　要：针对比较常见的图像的复制-粘贴篡改技术,提出一种基于局部二值模式LBP(local binary pattern)的检测算法。首先把需要检测的已经被篡改的图像分成大小相同的重叠块,每块的纹理特征用LBP(旋转不变)向量去表示,从而得到被检测图像的特征矢量;然后对得到的特征矢量进行字典排序,并结合检测图像块的位移矢量,准确定位并检测出图像中的被篡改区域。实验结果表明:在抗旋转处理和效率方面该算法均优于经典的基于PCA的检测算法。Aiming at quite common technique of image copy-move forgery, in this paper we propose a detection algorithm which is based on local binary pattern. First, we divide the tampered image to be detected into multiple overlapping blocks with the same size, the textural features on each block are represented with rotation invariant LBP vectors, therefore the feature vectors of the detecting image are got. Secondly, we sort the derived feature vectors in dictionary order, locate and detect the tampered region in the image by combining the displacement vectors of image blocks. Experimental results show that our algorithm performs better than the classical detection algorithm based on PCA （principal component analysis） in terms of the robustness against rotating operation and the＇ efficiency.

关 键 词：图像区域复制粘贴篡改 旋转不变LBP 特征矢量 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]