摘要
针对JPEG地质资料的复制移动篡改,提出一种结合SURF特征匹配与JPEG块伪影特征矩阵因子的篡改区域检测方法。首先运用SURF算法提取图像特征点并进行特征点匹配,根据剔除伪匹配点后的匹配对计算仿射变换参数,定位复制移动区域,然后通过引入JPEG块伪影特征矩阵因子实现篡改区域的定位。结果表明:相比其他算法,本方法能够更有效地探测JPEG地质资料的复制移动篡改,并精确定位篡改区域。
Aiming at copy-move forgery in the JPEG geological images, a new tampered region detecting method was presented based on the speeded up robust features （SURF） matching and JPEG blocking artifact characteristics matrix （BACM） factor. Firstly, the SURF algorithm was applied to extract and match the feature points of the image, the affine transformation parameters are obtained by the matched feature points, and were used to detect the copy-move tampered regions. Then, the tampered region was located according to the JPEG BACM factor. The results show that the proposed method can detect the copy-move tampered region in JPEG geologic images more effectively, and can also locate the tampered region more precisely than the other methods, which can therefore ensure the security and accuracy of the digital geological data.
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
2013年第9期2712-2720,共9页
The Chinese Journal of Nonferrous Metals
基金
国家自然科学基金资助项目(61172184)
湖南省国土资源厅科技计划项目(2012032)
