The Research On Robust Digital Water Marking Based On Chaos And Compressed Sensing

With the development of cloud technology, the broad application of digitalproducts in human life, effectively protecting the copyright of the digital multimediadata becomes the need of the present era. The digital watermarking technology is as akind of the effective protection means since the1990s, and gets attached greatimportance to the majority of researchers. The digital watermarking technology is thatspecific information is embedded into the host data, so as to protect the security of thehost data, its contents is related to copyright protection, content authentication,fingerprint authentication, broadcast monitoring, annotations mark; But it is not yetmature, there are still many problems in practical applications, such as robustnessdigital watermarking research towards commercialization. Therefore, in thisdissertation, a static image is taken as the research object, mainly in the robustness ofthe watermark design research. By the combination of the characteristics of the imageand the visual model to achieve the digital watermark in the spatial domain andtransform domain embedding and detection, effective solutions to the practicalapplication are provided, and a detailed performance analysis and computersimulation of the proposed algorithm is given. The main innovations of thisdissertation are summarized as follows:Firstly, a functional digital watermarking algorithm based on wavelet transformand chaos is proposed. Aiming at the influence of image transparency for watermarkcapacity, the digital watermark is generated by a user-defined function to extend thewatermark generation space. Using wavelet transform deal with grayscale images,choosing embedding points of middle-low frequency in wavelet transform, watermarkembedding points is encrypted by Logistic chaos, user can extract the watermark byobtaining the key and encryption sequence. The experimental results show that thealgorithm changes little to the original image, the watermark is not visible, and isrobust to common watermark attacks. In order to improve the security of chaoticsystems, a five-dimensional hyper-chaos system is designed and the feasibility of thesystem is proved adopting numerical method.Secondly, digital watermarking algorithm based on contourlet transform andECC(Elliptical Curve Cryptography) is proposed. ECC public key digitalwatermarking algorithm is given out based on a central trusted IPP (Intellectual Property Protection) institution, the watermark is embedded in contourlet domainavoiding the high frequency of the image edge, and the algorithm has betterrobustness of common watermark attacks, and provides a meaningful exploration forwatermark encryption system standardized.Thirdly, a digital watermarking algorithm based on compressed sensing andchaos is proposed. Currently one of the main issues is improving the embeddedwatermarking capacity in architecture of digital watermarking. More data isembedded to improve the watermark capacity by use of compressed sensing theory,and the sparsity of the functional watermark is analyzed. In order to improve thesignal reconstruction precision a measurement matrix design algorithm is presentedbased on SVD（Single Value Decomposition）, the effectiveness of the algorithm isproved, the simulation results verify that can improve the reconstruction accuracy3-5%for one dimensional signal and PSNR1-2dB for of two dimensional signal;digital watermarking algorithm is putted forward based on compressed sensing andchaos in normalized image, simulation results show that the algorithm has goodrobustness to geometric attacks and conventional attacks, the embedded informationcapacity of watermarking is enhanced about7times.Finally, the student contest management system and rice informationmanagement system based on digital watermarking are proposed, and a meaningfulexploration of the practical application of digital watermarking are provided. Theapplication of digital watermarking is in color image in the two systems, color imagedigital watermarking algorithm is similar to grayscale images overall, but hasdifferent with a grayscale image watermark algorithm, the difference mainly lies inthe color image watermark embedding taking into account the human color visualmodel, and should consider color space transform in the practical application. Whileextracting watermarking, SIFT (Scale Invariant Feature Transform) is used to imagecorrection, the algorithm is non-blind watermarking, and the operating results of thetwo systems shows that the two systems are robust to noise attack and the geometrictransformation.