Data protection for land consolidation with distortion tolerable LSB watermarking

Authors:
Li Li;Chao Zhang;Mingxin Liang;Daoliang Li
Affiliations:
College of Information and Electrical Engineering, China Agricultural University, Beijing, P. R. China;College of Information and Electrical Engineering, China Agricultural University, Beijing, P. R. China;College of Information and Electrical Engineering, China Agricultural University, Beijing, P. R. China;College of Information and Electrical Engineering, China Agricultural University, Beijing, P. R. China
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2009

Citing 3
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Abstract

With the rapid growth of Internet technology, data security protection has become an important issue. As a tool for improving the effectiveness of land cultivation, land consolidation plays an important role in enlarging farming plots and enhancing crop productivity. To fulfill land consolidation, more and more remote sensing images are widely used. This paper presents a LSB watermarking algorithm to protect the images data security. In the proposed scheme, the land reorganization planning map is embedded into a remote sensing image of the same area for information security and copyright protection. Before being embedded, the land reorganization planning map is compressively encoded. The contradiction between large information quantity and invisibility of digital water marking is perfectly eliminated. To avoid the shortcoming of being easily attacked in the original LSB method, the host image is preprocessed by exclusive-OR (XOR) operation. That is, the value of the least significant bit is decided by the XOR result of the first several bits. The watermark signal is embedded into the LSB of the processed host image by XOR operation. Moreover, by applying an optimal adjustment process, the watermarked image has the ability of distortion tolerance. The experimental results fully illustrate that the embedded watermark is not only imperceptible to the human eyes, but also has better security in the statistical sense. Moreover, the proposed scheme is superior in terms of its distortion tolerance.