Secret spatial information hiding technique for remote sensing image

Xianmin Wang; Cheng Wang; Jianzhong Zhou; Yongchuan Zhang

doi:10.1117/12.791280

5 March 2008 Secret spatial information hiding technique for remote sensing image

Xianmin Wang, Cheng Wang, Jianzhong Zhou, Yongchuan Zhang

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230G (2008) https://doi.org/10.1117/12.791280
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

In this paper, we introduced information hiding technique into remote sensing area, proposed its characters, requirements and difference from general information hiding technique and illuminated that general image hiding algorithm doesn't adapt to remote sensing image. There often exists some secret annotation related to a remote sensing image, therefore we proposed a new secret spatial information hiding technique for remote sensing image, which realizes to hide the secret spatial annotation into the related remote sensing image. And we also proposed a wavelet information hiding algorithm adapting to features of a remote sensing image based on DWT embedding strategy and HVS character. The experimental results show that the secret spatial information hiding technique and algorithm for a remote sensing image proposed in the paper not only has the advantages of good transparency, strongness, large information capacity and correct extraction of secret, but also has a strong robustness against JPEG lossy compression and noise adding. Furthermore the novel spatial information hiding technique and algorithm has no influence on applied value of a remote sensing image and doesn't need the original remote sensing image while extracting the secret spatial information, namely it is a blind algorithm.

Citation Download Citation

Xianmin Wang, Cheng Wang, Jianzhong Zhou, and Yongchuan Zhang "Secret spatial information hiding technique for remote sensing image", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230G (5 March 2008); https://doi.org/10.1117/12.791280

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