摘要
现有遥感图像零水印算法多为特定类型的遥感图像设计,普适性较差,且对水印组合攻击的鲁棒性不强。该文提出一种基于双混沌映射的遥感图像零水印算法。①对遥感图像进行非下采样剪切波变换,选取低频图像进行离散余弦变换;②对变换后的图像进行分块,并对各子块进行Schur分解,通过比较每个子块上三角矩阵中第一个元素值和均值的大小构建特征矩阵;③利用一维Logistic映射置乱遥感图像,与特征矩阵进行异或运算得到一个二值序列;①结合2D-LALM-Tent映射和Arnold置乱水印图像,对前述二值序列和置乱后水印的二值序列进行异或运算得到零水印。实验表明,该算法对不同类型遥感图像的适用性较好,且对水印组合攻击的鲁棒性较强,无精度损失,可用于多种类型遥感图像的版权保护,为遥感图像的共享提供安全保障。
Most of the existing remote sensing image zero-watermarking algorithms are designed for specific types of remote sensing images,which have poor universality and are not robust to watermark combination attacks.This paper proposes a remote sensing image zero-watermarking algorithm based on dual chaotic mapping.Non-subsampled shearlet transform is performed on remote sensing images,and low-frequency images are selected for discrete cosine transform.The transformed image is divided into blocks,and Schur decomposition is performed on each sub-block.The feature matrix is constructed by comparing the first element value and the mean value in the upper triangular matrix of each sub-block.③Theremotesensing image is scrambled by one-dimensional Logistic mapping,and a binary sequence is obtained by XOR operation with the feature matrix.@Combined with 2D-LALM-Tent mapping and Arnold scrambling watermark image,the zero watermarking is obtained by XOR operation on the aforementioned binary sequence and the binary sequence of the scrambled watermarking.Experiments show that the proposed algorithm has good applicability to different types of remote sensing images,and has strong robustness to watermark combination attacks without accuracy loss.It can be used for copyright protection of various types of remote sens-ing images and provide security for the sharing of remote sensing images.
作者
杨兵兵
闫浩文
张黎明
徐欣钰
王小龙
严清博
侯昭阳
YANG Bingbing;YAN Haowen;ZHANG Liming;XU Xinyu;WANG Xiaolong;YAN Qingbo;HOU Zhaoyang(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070;Gansu Provincial Key Laboratory of Science and Technology in Surveying&Mapping,Lanzhou 730070;College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2024年第3期21-28,共8页
Geography and Geo-Information Science
基金
国家自然科学基金面上项目(42271430、41761080)
甘肃高等学校产业支撑引导项目(2019C-04)。
