Research On Dual Watermarking Algorithms For Transforming Domains

With the development of the computer science and the Internet technology, almost all the texts, images, audios, video and the other multimedia can be stored and transported through the network in digital form. Since these digital works can be easily spread and reproduced, it brings a threat to the works’ safety, intellectual property protection and some other aspects. Digital watermarking technology is an effective means for information security, copyright protection of digital works. And it also can be used to do the tamper detection to digital information, electronic documents and counterfeit bills. But most of current watermarking algorithms belongs to single watermarking algorithms and each of that algorithms only has one function. Existing dual watermarking algorithms are not that good in performance. These algorithms can not meet the need of applications.This paper focuses on the problem that existing watermarking algorithms only have one function or their performance is not that good. The dual watermarking algorithms on transforming domain is researched to increase the functions and performance of watermarking algorithms. The specific research contents and achievements are as follows:(1) Research and analyze the existing digital watermarking algorithms. The models and basic steps of digital watermarking algorithms are summarized. And common watermarking transform domains such as discrete cosine transform, discrete wavelet transform are researched and analyzed and the advantages and disadvantages of them are summarized.(2) Research the singular value decomposition transform method and propose a dual watermarking algorithm based on singular value decomposition and wavelet transform. The experiment results show that this algorithm has a good transparency and robustness performance and can complete copyright protection and temper detection works.(3) Research the basic theory of compressive sensing and propose an algorithm based on compressive sensing and sub-sampling method. This algorithm works well and can embed more watermarking information into the host image. It can also serves for several masters of one digital production.(4) Combine the discrete fractional random transform and compressive sensing together and propose an algorithm based on these two transform domains to improve the former two algorithms in the functions and performance. This algorithm can complete functions such as copyright protection, temper detection and temper recovering.