东南大学学报（英文版）2019，Vol.35Issue(4)：431-439,9.DOI:10.3969/j.issn.1003-7985.2019.04.005
基于分数阶四元数Zernike矩和改进PatchMatch算法的有效复制-粘贴篡改检测算法
An effective cow-move forgery detection algorithm using fractional quaternion Zernike moments and improved PatchMatch algorithm
摘要
Abstract
An effective algorithm is proposed to detect copymove forgery.In this algorithm,first,the PatchMatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algodthrn(ROSANNA)to modify the propagation process.Then,fractional quaternion Zernike moments (FrQZMs) are considered to be features extracted from color forged images.Finally,the extracted FrQZMs features are matched by the improved PatchMatch algorithm.The experimental results on two publicly available datasets (FAU and GRIP datasets) show that the proposed algorithm performs better than the state-of-the-art algorithms not only in objective criteria F-measure value but also in visual.Moreover,the proposed algorithm is robust to some attacks,such as additive white Gaussian noise,JPEG compression,rotation,and scaling.关键词
四元数/分数阶Zemike矩/PatchMatch算法/复制-粘贴篡改检测Key words
quaternion/fractional Zernike moments/PatchMatch algorithm/copy-move forgery detection分类
信息技术与安全科学引用本文复制引用
陈北京,高野,俞铭,吴鹏,舒华忠..基于分数阶四元数Zernike矩和改进PatchMatch算法的有效复制-粘贴篡改检测算法[J].东南大学学报（英文版）,2019,35(4):431-439,9.基金项目
The National Natural Science of China (No.61572258,61771231,61772281,61672294),the Priority Academic Program Development of Jiangsu Higher Education Institutions,the Qing Lan Project of Jiangsu Higher Education Institutions. （No.61572258,61771231,61772281,61672294）
