%0 Journal Article
%T Information Authorized Hiding Algorithm for Remote Sensing Image Based on Image Fusion<br>基于遥感影像融合的不同权限信息隐藏盲算法
%A WANG Xian-min
%A GUAN Ze-qun
%A WU Chen-han
%A <br>王贤敏
%A 关泽群
%A 吴沉寒
%J 遥感学报
%D 2005
%I 
%X Remote sensing image fusion is an effective means to realize abundant presentation of enormous image data from various origins. However in the fused remote sensing image, there may be some secrete information such as military bases that cann't be opened to all users. Just those authorized users can completely and distinctly obtain the secrete information; partly-authorized users can only faintly see those secrete; but the unauthorized users cann't see it. In this paper, we proposed a blind algorithm for secrete information hiding based on remote sensing image fusion and it can achieve hiding to different degrees the secrete information in the fused remote sensing image according to different popedoms of different users. Firstly, we fused the remote sensing images from various origins, chose, segmented and extracted the secrete information in the fused image and according to different users' popedoms produced the disguised fused images by filtering and pixel complementation in which there presented the secrete information to different degrees. Then we used for reference the idea of information hiding and utilized the algorithm of odd-even embedding and JPEG standard quantization table to embed the secrete sub-image imperceptibly into the disguised fused image to produce the disguised one in which there hid secrete sub-image. While embedding, we exploited JPEG standard quantizaton table to define the quantization step which further enhanced the robustness of the algorithm against the attack of JPEG lossy compression. In addition, during the course of extracting the secrete information and resuming the fused image, this algorithm didn't need the original remote sensing images and was a blind one. 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. Furthermore this algorithm has no influence on various applications of the disguised fused images with the hidden secrete information to different degrees, such as edge detection and image classification.
%K image fusion
%K information hiding
%K popedoms of users
%K odd-even embedding
%K JPEG standard quantization table<br>影像融合
%K 信息隐藏
%K 用户权限
%K 奇偶嵌入法
%K JPEG标准量化表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=4F1CB62B5A7DD68C&yid=2DD7160C83D0ACED&vid=9CF7A0430CBB2DFD&iid=94C357A881DFC066&sid=39E48869A719B9DE&eid=90773C2285A2F0BB&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=7