基于LBP的同图复制粘贴篡改图像的检验研究  

Research on Image Copy-paste Tampering Based on Local Binary Pattern

作　　者：徐泽立 于奎栋 XU Zeli;YU Kuidong(Huangpu Branch of Shanghai Public Security Bureau,Shanghai 200023,China;Institute of Forensic Science,Shanghai Public Security Bureau,Shanghai 200083,China)

机构地区：[1]上海市公安局黄浦分局,上海200023 [2]上海市公安局物证鉴定中心,上海200083

出　　处：《刑事技术》2023年第5期481-488,共8页Forensic Science and Technology

基　　金：公安部公安理论及软科学研究计划项目(2021LL17)。

摘　　要：铺天盖地的篡改图像已成为当今社会安全隐患之一。同图复制粘贴篡改是当前篡改图像中较为频繁使用的篡改手法,本文尝试基于LBP算法对同图复制粘贴篡改图像进行鉴别。先将图像转为灰度图再使用低通滤波操作将会降低检验效果的因素减少,再运用Harris算法提取特征点,LBP算法提取特征向量,并将特征值匹配,最后用RANSAC算法来消除误匹配点。结果显示,本文算法可有效检测出经过后处理操作过的同图复制粘贴篡改图像,该方法检验同图复制粘贴篡改图像效果良好。With the rapid development of science and technology and the Internet,digital images are playing a more indispensable role in our life.Digital images are increasingly inseparable from social media,forensics,journalism,scientifi c research,medicine,and all sorts of industries.However,due to the high editability of digital image,anyone can modify the content of digital image arbitrarily through the image editing program,which makes the authenticity and objectivity of the image become unknown.Therefore,how to identify the authenticity of the image has become a hot topic among experts and scholars.In the recognition of image authenticity,the tampering form of modifying the image content by copying and pasting the same image is very common in many cases of image tampering.Aiming at such problems,this paper attempts to identify the copy-pasted tampering image of the same image based on LBP algorithm.Firstly,the corner points in the tampered image were identifi ed by Harris corner detection technology,and a rectangular window with corner points as the core was constructed.Then,the rectangular window features were obtained by local binary pattern(LBP)technology,and the feature vectors were determined.Then,the feature vectors were sorted lexicographically.The image tampered area was determined by the similarity of adjacent feature vectors,and the image tampered area was determined by the similarity of adjacent feature vectors.Finally,wrong mismatching points are removed by RANSAC operator.Experimental results demonstrate that the algorithm can effectively check the degree of image tampering,and has high robustness for images tampered with by complex behaviors such as rotation tampering,brightness tampering,fuzzy tampering and noise tampering.Although the copy-paste source of multi-region tampering cannot be determined,the multi-region tampering region can be identifi ed.The method can verify the same image copy-paste tampering image effectively.

关 键 词：图像检验 复制粘贴篡改 HARRIS算法 局部二值模式(LBP) 

分 类 号：TP309[自动化与计算机技术—计算机系统结构] TP391.41[自动化与计算机技术—计算机科学与技术] D918.2[政治法律—法学]