Research On Robust Still Image Watermarking Based On Multi-Sensing

Digital watermarking is one solution to protect copyright of digital materials. Since 1990s, more and more people focused on this interesting, full of challenges and opportunities field. In this dissertation, LCNN(Lagrange Constraints Neural Network) was introduced to imitate 2-eye system of mammals for getting the clearer watermarks in a noised environment.Classical LCNN(CLCNN) fell short of lower effective and ill-conditioned matrix. In this dissertation, LCNN was carefully investigated to learn the approximate procedure of the learning matrix, and found out the relationship between Lagrange constraintλand supervised learning target min(As-x), so the approximate acceleration of x,which is a supervised learning gradient,was supposed to replaceλwhich should be obtained by an unsupervised method, and the relationship——"And and Or Logistic"——between supervised and unsupervised learning, was depicted more deeply. Based on this kind of parallel learning, 4 types of Adaptive LCNN(ALCNN) algorithm were discovered, new idea and solution were emerged for quick and parallel analysis of underdetermined and overdetermined matrices.Several mainstream watermarking technologies,which are based on wavelet and independent components, were discussed, and 2 adaptive embedding solutions were designed, one is a robust 2-value watermarking, and another is a robust grey watermarking. Furthermore, based on the fusion of multiple resolutions subband decomposition and LCNN independent components, LCNN and biorthogonal wavelet basis were employed for a grey watermarking.The test results showed that the decoding accuracy had been improved to over 90% for higher noise, compression, etc. attacks. This is very useful to the extract and verification of weak watermarked image or weak watermarks, which will be varied with the environment. At the end of dissertation, a double-fragile-watermark solution was proposed in a security middleware project of E-government sealing system for protecting the documents with an electronic seal and an invented patent has been hold on this achievement.Innovations of this dissertation were depicted as follows: (1) Proposing a grey watermarking algorithm with adaptively adjusting embedded references, according to the luminance of host image, and has been published in a paper [134].(2) Proposing an adaptive robust reference watermarking(RRW) algorithm based on on the keypoints of 2-value watermarks.According to the shortages the famous RRW for texture smooth, the solution based on the keypoints, which were the edges of 2-value watermarks, was proposed. The relevant QIM can be chosed from different scale grid with the keypoints and achieve a better result than that standard RRW in some experiments. This achievements have been published in papers [135][136](3) Proposing 4-type rapid, effective ALCNN Algorithms. The coefficientλof Lagrange function constraints was re-known as an acceleration of that supervised learning, and 4-type of adaptive LCNN algorithm were designed. We proved that all learning matrices of the 4-type algorithm converged in O(n) time, and the adaptiveλlearning algorithm converged also in O(n) for solving independent components(IC), which means this algorithm will be used in wider applications and lays the foundation for parellel ICA, and the rests(the other 3 types of algorithm) converged in O(n2) for ICs, which can be used in the recognition,and tracing, while the algorithm of ALCNNs with checking showed the advances of fusing the unsupervised and supervised learning. All works of the achievements have been in the paper submitted to "Journal of the University of Electronic Science and Technology of China".(4) A double-fragile-watermarking algorithm for protecting electronic documents with electronic seals was designed. The Hash value of the document was used as watermarks to embed into an electronic seal and then the seal was stamped over the document. This process combined the seal with the document and guarrented the uniqueness of the pair of watermark-document, with the characteristic of digital signature. When the electronic seal was stored standalone, the tag of unit can be embedded as a fragile watermark in order to assure the integration of the seal. This achievement has been integrated into security middleware architecture and used in the project "Secure Service Platform of E-government", now, a patent has been applied with the application number 200510021291.3, and publication NO.1725244.(5) Based on LCNN and wavelet, a solution with embedding the grey watermarks into color host image was designed: this solution was particularly useful to extract the weak watermarks, and the good comparability(NC) between original and estimative watermarks can be obtained when the imperception is higher(higher PSNR). This achievement has been published in papers.