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Research On Robust Digital Watermarking Based On Transform Domain

Posted on:2016-06-27Degree:MasterType:Thesis
Country:ChinaCandidate:M M LiFull Text:PDF
GTID:2308330464971687Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
Now in our daily life, our working and learning are increasingly dependent on networked, intelligent and information technology. We often publish our information and works online. The popularity of the Internet has made the using of the digital products such as digital video, digital audio and electronic documents more convenient, direct and efficient. However, the satiation of the copyright protection has been severe. Digital watermarking technology is produced under the background of copyright infringement, piracy and tampering. According to the research results, the digital watermarking technology can break through from three aspects of the embedment of large capacity watermarking, security and robustness in the future.Based on the above three aspects mentioned, this paper puts forward two watermarking algorithms which settle the three problems at the same time. The two algorithms are realized in diffident frequency domains. Then the first algorithm is DWT domain and the second one is DCT-SVD domain. At the same time the both algorithms are integrated into the compressed sensing theory (CS) and the function of the CS is mainly to solve the embedment of large capacity watermarking and watermarking safety. The main content of the first algorithm is that the color watermarking picture pretreated is measured by a measurement matrix, and then the measurements are embedded into the DWT coefficients of the low frequency area of the host image. In extraction section, the IHT algorithm is used to reconstruct the original host image. The simulation experiments prove that the algorithm is feasible. And the algorithm has good anti-attack ability for the JPEG compression and Gauss noise.For the second algorithm, the color watermarking image must be processed by wavelet transform, chaotic scrambling and measurement first. Then the host image is transformed by DCT and SVD. Finally the new watermarking is embedded into the singular values of the host image. According to the final simulation experiments, the results show the algorithm is feasible and the algorithm has good anti-attack ability for the JPEG compression, Gauss noise, filtering and rotation.The innovation points of the two new algorithms are that the color watermarking image is made sparse by wavelet transform, chaotic scrambling and CS measurement. And then the two new watermarking are embedded into the diffident frequency domains. The reconstructed images are clear and the have good robustness.The last content of the paper is to analyze and summarize the experimental conclusion and make outlook for future work.
Keywords/Search Tags:Compressed sensing, DWT, DCT, Singular value decomposition, Chaos
PDF Full Text Request
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