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计算机工程 ›› 2006, Vol. 32 ›› Issue (1): 28-30.

• 博士论文 • 上一篇    下一篇

一种新的遥感影像不同权限信息隐藏技术

王贤敏 1,2,王 乘1,周建中1,关泽群2,吴沉寒2   

  1. 1. 华中科技大学水电与数字化工程学院,武汉 430074;2. 武汉大学遥感信息工程学院,武汉 430079
  • 出版日期:2006-01-05 发布日期:2006-01-05

A New Technique for Information Hiding Based on Different Authorities in Remote Sensing Image

WANG Xianmin1,2, WANG Cheng1, ZHOU Jianzhong1, GUAN Zequn2, WU Chenhan2   

  1. 1. College of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074;2. School of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079
  • Online:2006-01-05 Published:2006-01-05

摘要: 提出了一种遥感影像中不同权限机密信息隐藏算法,该算法基于遥感影像融合且能够根据用户的不同权限,进行遥感影像中机密信息不同程度的隐藏。实验结果表明:该算法不仅具有强的透明性和大的信息隐藏量,而且对于JPEG 有损压缩、附加噪声、伸缩、滤波、旋转和裁剪等各种常见的影像处理均具有较强的鲁棒性。

关键词: 影像融合;信息隐藏;用户权限;奇异值分解

Abstract: This paper proposes an algorithm for secrete information hiding in remote sensing image based on different authorities and it is based on remote sensing image fusion and can achieve hiding to different degrees of the secrete information according to different authorities of users. Firstly, it segments and extracts the secrete information in the fused remote sensing image and according to different authorities produces the disguised images in which the secrete information to different degrees is presented. Then it exploits singular value division (SVD) algorithm to embed the secrete sub-image imperceptibly into the disguised image to produce the disguised one in which secrete sub-image is hided. And experimental results show that this algorithm is not only quite transparent and has a good effect for large amount of secrete information hiding, but also has a strong robustness against such familiar image processes as JPEG lossy compression, noise adding, scaling, filtering, rotation and cropping.

Key words: Image fusion; Information hiding; Authorities of users; Singular value division(SVD)