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Wavelet domain image watermarking algorithm combined with the characteristics of the human visual

Author: ChenKang
Tutor: FangWangSheng
School: Jiangxi University of Technology
Course: Communication and Information System
Keywords: Image Digital Watermarking Wavelet Transform Human vision system Critical visible error Geometric attacks
CLC: TP309.7
Type: Master's thesis
Year: 2010
Downloads: 178
Quote: 1
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Abstract


This paper studies a digital image watermarking technique based on wavelet transform. Introduced digital watermark the research background and significance, research status, characteristics and classification system, the basic framework of the given image digital watermarking technology, common attacks, evaluation criteria, and the typical algorithm, and a brief overview of the wavelet analysis theory. This paper presents several wavelet domain image watermarking algorithm combined with the characteristics of the human visual. A wavelet domain image watermarking algorithm based on human visual system. The algorithm makes use of the human visual characteristics and wavelet transform characteristics to improve the wavelet domain JND door limit model, and calculate the carrier image of each wavelet coefficient critical visible error (JND) threshold, select a group of JND door limit large wavelet coefficients embedded digital watermark information. The experimental results show that the algorithm has strong robustness and invisibility. Algorithm strong anti-attack performance is due to the embedding strength of the respective wavelet coefficients is the same, on the basis of a certain degree of damage, if the watermark is too large this destruction is more evident in the watermark transparency. Therefore, the algorithm is adapted to the small-capacity watermarking system. Wavelet domain image watermarking algorithm based on watermarking capacity. Determine the watermark embedding model embedded watermark, the watermark embedding strength by JND door limit calculated by modifying the wavelet coefficients. As a result, the size of the estimation method to establish the the watermarks model download body image watermark capacity; watermark capacity formula to estimate the value and according to the type and strength of the watermark attack vector image watermark capacity, and based on this estimate to adjust watermark. Unable to determine the type and strength of the watermark attack case, by analysis of the watermark capacity formula embedded watermark information, select a set of wavelet coefficients of the high watermark distortion limit improve watermark robustness. The experiments show that the watermarking algorithm has better visibility, strong robustness for common watermark attacks such as: add noise, image filtering and JEPG compression. Watermark algorithm makes use of chaotic system, so the algorithm has high security and robustness of image cropping attacks. For other geometrical attack, the result is not satisfactory algorithm to extract the watermark. Image watermarking algorithm based on wavelet transform anti geometric attacks. Several common anti geometric attack watermarking scheme, we have chosen the anti-geometric attacks based on image feature program algorithm against geometric attack performance, the wavelet decomposition low frequency sub image features as a vector image embedded watermark information. Quantified through the sub-block of the wavelet coefficients of low frequency sub watermark embedding, and increase the low-frequency the subgraph texture District wavelet coefficients quantization step according to the characteristics of the human visual characteristics and geometric attacks. Watermark extraction process: the low frequency sub watermark image block, according to the principle of majority decision 1bit watermark information contained in each sub-block. The test results show that the algorithm has good and resistance to attack good performance characteristics, including algorithm common geometric attacks and add noise, JEPG compression algorithm anti-attack performance, large capacity of watermark, watermark blind extraction, the watermark is not visible strong robustness.

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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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