Paper
3 November 2005 Practical information hiding technique for multi-spectral remote sensing image
Xianmin Wang, Zequn Guan, Chenhan Wu
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60430U (2005) https://doi.org/10.1117/12.654867
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, 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. We developed the connotation of information hiding that the secret information is still hidden in the original remote sensing image and proposed a practical information hiding technique for multi-spectral remote sensing images and a wavelet information hiding algorithm adapting to the features of the multi-spectral remote sensing image based on DWT embedding strategy and HVS character. The experimental results show that the information hiding technique and algorithm for multi-spectral remote sensing images proposed in the paper not only has the advantages of good transparency, strongness, large information capacity, correct extraction of secret, well protecting the textural and spectral features of the secret ground object and vividly resuming the multi-spectral remote sensing image, but also has a strong robustness against JPEG lossy compression and noise adding. Furthermore this algorithm has no influence on applied value of a multi-spectral remote sensing image, doesn't need the original image while extracting the secret information and resuming the original one and was a blind algorithm.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianmin Wang, Zequn Guan, and Chenhan Wu "Practical information hiding technique for multi-spectral remote sensing image", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430U (3 November 2005); https://doi.org/10.1117/12.654867
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KEYWORDS
Remote sensing

Data hiding

Image compression

Wavelets

Image processing

Discrete wavelet transforms

Image quality

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