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Digital Watermarking Techniques Based On Wavelet Transforms And HVS

Posted on:2008-08-30Degree:MasterType:Thesis
Country:ChinaCandidate:J X XuFull Text:PDF
GTID:2178360245991801Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
With the rapid development of network and communication and extensive use of multimedia technology, the copyright protection of digital median work is becoming more and more important. Digital watermarking is viewed as an effective way of intellectual property right protection of multimedia data.Watermarking technology for image copyright protection in wavelet domain is researched in the dissertation. At first the principle, attack analysis and evaluation of performance of digital watermark is described. Then, based on the research and the problems that exist to be considered and solved, two watermarking algorithms in wavelet domain for images are proposed. The two algorithms mainly focus on how to get the best embedding strength of the watermark and the scheme of wavelet coefficient modification and extraction. The two algorithms are as follows:The first algorithm is a blind watermarking algorithm based on Discrete Wavelet Transform (DWT). The watermark image is scrambled by a generalized transform so as to improve the security of the watermark; the watermark is embedded into the high requency subband which guarantees the robustness of the algorithm; the embedding strength is calculated adaptively to improve the imperceptibility of the watermark. In order to implement the blind extraction, this paper improves an embedding algorithm based on repeated-replacing, which enhances the invisibility of the algorithm.The second algorithm is a plaintext watermarking algorithm based on wavelet transform and the features of human visual system (HVS). The algorithm chooses middle subband of the wavelet packet decomposition of the original image to embed the watermark, which increases the capacity of the watermark and improves the imperceptibility also. The HVS model is improved to fit for the features of wavelet transform based on which the watermark is embedded adaptively. The watermark is embedded by quantizing the wavelet packet coeficients, and the quantizing step is calculated according to the embedding strenth.Quantity of experiment data shows that both of these two algorithms have good robustness, and the imperceptibility of watermark can be guaranteed at the same time.
Keywords/Search Tags:Digital watermarking, Wavelet Transform, Human Visual System, Adaptive
PDF Full Text Request
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