摘要
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。
Copy-move forgery was one of the most simple and common way of image manipulations. To improve the robustness of most existing copy-move forgery detections, a new method based on local intensity order pattern was proposed. First, the LIOP feature descriptors were exacted from the inspected image. Then the angular cosine of feature descriptors were used to measure the similarity, and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor. Finally, the space distance of the matching points were calculated to remove the false matching points. Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area, but also have high accuracy and robust to scaling, rotation, brightness change and some post-processing, such as Gaussian blur, additive white Gaussian noise and JPEG compression.
出处
《通信学报》
EI
CSCD
北大核心
2016年第S1期132-139,共8页
Journal on Communications
基金
国家自然科学基金资助项目(No.61070062
No.61502103)
福建省高校产学合作科技重大基金资助项目(No.2015H6007)
福州市科技计划基金资助项目(No.2014-G-76)
福建省高等学校新世纪优秀人才支持基金资助项目(No.JAI1038)
福建省科学厅K类基金资助项目(No.2011007)
福建省教育厅A类基金资助项目(No.JA10064)
福建师范大学研究生教育改革研究基金资助项目(No.MY201414)~~
关键词
图像篡改检测
复制—粘贴篡改
特征描述
局部强度顺序模式
image tampering detection
copy-move forgery
feature description
local intensity order pattern
