摘要
在卷积编码的基础上,提出一种DCT域遥感影像半脆弱水印算法.将交织技术引入卷积编码中,以提高卷积编码的检错能力,从而保证半脆弱水印实现对恶意篡改的检测跟踪.该算法提取遥感影像8×8直流量化系数奇偶性作为半脆弱水印信息,借助交织卷积编码实现篡改检测定位,并通过DCT中低频抖动调制来平衡不可见性及边缘信息误差之间的矛盾.实验结果表明:所提出的遥感影像半脆弱水印算法不仅具有良好的不可见性、鲁棒性和篡改检测定位能力,而且引入误差对遥感影像属性及应用影响很小.
Based on convolutional encoding,a DCT（discrete cosine transformation）semi-fragile watermarking algorithm was proposed for remote sensing image.Interleaving was introduced into convolutional coding for stronger error-checking ability to achieve the tamper detection and localization of semi-fragile watermarking.The proposed algorithm collected the parity of quantified 8×8dired current-coefficients as semi-fragile watermarking,developed watermark′s antijamming and tampering location ability with the help of interlaced convolutional coding and balanced invisibility and error by dither modulation in medium-low frequency.Experiment results show that the semi-fragile watermarking is not only invisibility,robustness,and tamper location,but also has little influence on remote sensing images′properties and applications.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第7期47-51,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家重点基础研究发展计划资助项目(2011CB302306)
国家自然科学基金资助项目(41101416)
高等学校博士学科点专项科研基金资助项目(20110141110056)
关键词
遥感影像
完整性验证
半脆弱水印
卷积编码
水印算法
离散余弦变换
remote sensing image
integrity verification
semi-fragile watermarking
convolutional coding
watermarking algorithm
discrete cosine transformation
