WANG Xian-min~. Information Authorized Hiding Algorithm for Remote Sensing Image Based on Image Fusion[J]. Journal of Remote Sensing, 2005,(5):576-582.
WANG Xian-min~. Information Authorized Hiding Algorithm for Remote Sensing Image Based on Image Fusion[J]. Journal of Remote Sensing, 2005,(5):576-582. DOI: 10.11834/jrs.20050584.
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.
关键词
影像融合信息隐藏用户权限奇偶嵌入法JPEG标准量化表
Keywords
image fusioninformation hidingpopedoms of usersodd-even embeddingJPEG standard quantization table