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Research on Information Hiding Algorithm of Image and DEM Data

Author: HeMi
Tutor: ChengLiZhi
School: National University of Defense Science and Technology
Course: Mathematics
Keywords: Information Hiding Data of a digital elevation model (DEM data ) Steganography Lossless digital watermark Asymmetric digital watermarking
CLC: TP309.7
Type: Master's thesis
Year: 2007
Downloads: 81
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Abstract


Information hiding technology related to the major issues of the national economy and national security, and in recent years has increasingly become a focus for researchers. In this paper, some of the problems in the branch of information hiding - Digital Watermarking and Steganography, the main work is divided into the following three parts: information-bearing object as a digital elevation model data (referred to as the DEM data), modifying the histogram method embedded watermark information, to extract the watermark without the original data, DEM data can be fully restored after watermark extraction, with high economic value. This method of calculation of low complexity, suitable for handling floating point accuracy DEM data, and the large amount of information (≥ 48.8kb), with higher peak average signal-to-noise ratio (42dB) embedded watermark DEM data to keep topographical shape and characteristics of ups and downs. For the protection of the copyright of the digital image, this paper presents a robust asymmetric watermarking method based on lifting wavelet transform Contourlet Transform feature subspace projection. Construct the embedding matrix (private key) and detection matrix (public key) and the embedding matrix confidentiality, detection matrix publicly, at the same time does not depend on the host image watermark and embedded in a matrix. Anyone can use the detection matrix to determine whether it contains a watermark in the image to be tested, but the attacker can not detect matrix to calculate the embedding matrix, can not be removed or forged watermark to protect the copyright of the digital image. Robust Subspace lifting wavelet transform Contourlet transform as watermark embedding space embedding matrix watermarking robustness space. The structure detection functions judgment to be tested whether the image contains a watermark, and proved that the method has a high probability of detection and low false alarm probability. The experimental data show that asymmetric watermarking algorithm proposed in this paper has better robustness fight projector attack, adding noise, rotate, crop, scale, scaling, JPEG compression, image attacks. This paper presents a completely new DEM data based on empirical mode decomposition camouflage technology. Way Hash function SHA-256 seeds as a hash function input, the output of the hash function is to generate pseudo-random sequence. Empirical mode decomposition expand this pseudo-random sequence and then generate DEM data used for camouflage. Disguised DEM data with high visual deceptive. DEM data encrypted control the seed of the pseudo-random sequence generation and copyright information embedded camouflage reversible watermarking algorithm. The watermark extraction camouflage DEM data can be fully restored after use can completely restore the secret key DEM data. The algorithm can achieve multi-level management of user rights.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Encryption and decryption
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