基于自适应提点鲁棒定位的图像复制粘贴篡改检测

Copy-Move Forgery Detection Based on Adaptive Keypoints Extraction and Robust Localization

复制-粘贴篡改检测(Copy-Move Forgery Detection,CMFD)是数字图像篡改的一种常见方式,近年来已成为多媒体取证领域一个重要的研究方向.本文提出一种鲁棒的复制-粘贴篡改检测算法,基于构造波动函数自适应获取阈值的方法均匀提取图像特征点,可在篡改区域小或平滑的情况下进行鲁棒检测.引入DBQ-LSH匹配算法进行特征匹配,降低了时间复杂度.提出基于不变矩LBP图像的定位方法,在图像受到噪声攻击和JPEG压缩攻击下能精准定位篡改位置.实验结果表明,该算法具有优良的检测正确率(图像级)和检测精度(像素级).

Copy move forgery is a common way of digital image tampering,which has become an important research direction in the field of multimedia forensics in recent years.We propose a robust copy-move forgery detection algorithm.We construct wave function to extract keypoint evenly in the image,which can extract enough keypoint even in small or smooth areas.We introduce DBQ-LSH for feature matching,which greatly reduces time consumption.We propose a novel approach which use invariant moment LBP image to locate forged areas,even if the image is seriously attacked,the algorithm detection accuracy is still excellent.A large number of experimental results verify the reliability of proposed algorithm,in terms of validity and accuracy.