复制—粘贴篡改是一种最简单而且常见的图像篡改方式。为了提高目前复制—粘贴篡改检测算法的顽健性,提出一种基于局部强度顺序模式(LIOP,local intensity order pattern)的图像复制—粘贴篡改检测算法。首先,提取待测图像的LIOP特征描...复制—粘贴篡改是一种最简单而且常见的图像篡改方式。为了提高目前复制—粘贴篡改检测算法的顽健性,提出一种基于局部强度顺序模式(LIOP,local intensity order pattern)的图像复制—粘贴篡改检测算法。首先,提取待测图像的LIOP特征描述子,然后以特征描述子间的夹角余弦值作为相似性度量,根据最近邻与次近邻的比值阈值寻找稳定的匹配点,最后计算匹配点对间的空间距离以移除误匹配点。实验结果表明,所提算法能够有效检测并定位复制粘贴篡改位置,而且算法检测的准确率高,能够抵抗缩放、旋转、亮度变化以及高斯模糊、加性高斯白噪声、JPEG压缩等后期处理操作。展开更多
An effective algorithm is proposed to detect copy-move forgery.In this algorithm,first,the PatchMatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algorithm(ROSA...An effective algorithm is proposed to detect copy-move forgery.In this algorithm,first,the PatchMatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algorithm(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.展开更多
文摘复制—粘贴篡改是一种最简单而且常见的图像篡改方式。为了提高目前复制—粘贴篡改检测算法的顽健性,提出一种基于局部强度顺序模式(LIOP,local intensity order pattern)的图像复制—粘贴篡改检测算法。首先,提取待测图像的LIOP特征描述子,然后以特征描述子间的夹角余弦值作为相似性度量,根据最近邻与次近邻的比值阈值寻找稳定的匹配点,最后计算匹配点对间的空间距离以移除误匹配点。实验结果表明,所提算法能够有效检测并定位复制粘贴篡改位置,而且算法检测的准确率高,能够抵抗缩放、旋转、亮度变化以及高斯模糊、加性高斯白噪声、JPEG压缩等后期处理操作。
基金The National Natural Science of China(No.61572258,61771231,61772281,61672294)the Priority Academic Program Development of Jiangsu Higher Education Institutionsthe Qing Lan Project of Jiangsu Higher Education Institutions
文摘An effective algorithm is proposed to detect copy-move forgery.In this algorithm,first,the PatchMatch algorithm is improved by using a reliable order-statistics-based approximate nearest neighbor search algorithm(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.
