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Adaptive digital watermarking algorithm based on multi-scale morphological gradient

Author: ChenWenYong
Tutor: FanYanBin
School: Qingdao University
Course: Applied Computer Technology
Keywords: Digital Watermarking Adaptive Wavelet Analysis Mathematical Morphology Morphological gradient
CLC: TP309.7
Type: Master's thesis
Year: 2009
Downloads: 84
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Abstract


With the development and wide application of multimedia and network technology , multimedia information content protection has become a concern and problems to be solved . Digital image as a very important class of multimedia information , copyright protection and content authentication has been widely appreciated. Along with digital watermarking technology has become a powerful means of ensuring information security and effectiveness . A wide variety of digital watermarking algorithm watermark research in the field of hot spots in recent years, adaptive digital watermark technology . Digital image watermarking , mainly the following aspects of the work carried out a systematic study of the entire digital watermarking technology : system introduced the basic model of digital watermarking technology , the characteristics , classification and application analyzes the existing typical the watermarking algorithm technology strategy and its advantages and disadvantages . Then wavelet decomposition theory , analyzes the advantages of wavelet domain digital watermarking technology . In-depth analysis and study of existing digital watermarking algorithm based on focusing on the frequency domain of digital watermarking technology research, dedicated to the design of adaptive digital watermarking algorithm . Improved the deficiencies of the existing adaptive watermarking algorithm , an adaptive digital watermarking algorithm based on multi-scale morphological gradient . Morphological gradient analysis of the distribution of each sub-block texture after the wavelet packet decomposition and its strength of texture sort . According to the embedding of the watermark information of the position of the image of each sub- block itself texture features adaptively determined threshold value of the respective sub-blocks , select the location of a large threshold value thereof as an important coefficient . Then, by the noise visible function (NVF) adaptive modulation at each position in the embedding strength , on the basis of ensuring good visual masking effect , to take optimal embedding strength , better achieve robustness and invisibility effect. The experimental results show that the algorithm is robust to common image processing operations are .

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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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