Research Of Digital Watermarking Based On Primary Corner Detection And Singular Value Decomposition Algorithm

With the rapid development of network technology, it is the primary means of access to important information through multimedia data, because of people like this digital information can be fairly easy to get, so there have been a lot of illegal copying, tampering, destruction damages of digital information security issues. Therefore, protect the security of multimedia data has becomes very hot issues in information security, The emergence of digital watermarking technology, which as a branch of information hiding, provide a new method of copyright protection for digital products. Digital watermarking technology in recent years has attracted a lot of attention at the international level, with the development of digital watermarking technique for many years and rapid improvement of the technology, digital watermarking technology has been widely studied and applied.As an important branch of information hiding technology, the digital watermark to protect the security of the information as the purposes. In order to carriers some information in the digital data, such as multimedia information, author's name, picture, copyright information, etc. The emergence of digital watermarking can also effectively combat the illegal distribution of digital products and piracy acts, for the relevant departments to provide strong evidence. This paper mainly uses the theory of corner analysis and singular value decomposition for embedding watermark information. The hidden data will need to first use Arnold scrambling technology to enhance the invisibility. Then using the Lorenz chaotic system encrypted the scrambling data, so that the watermark can be effectively protected again. Using Harris corner detection operator for corner detection, the copyright information such as author names and other information could be embedded into the focus of the image carrier. As for copyright images, the author avatar and other information, use the wavelet decomposition technology. The watermark information hidden in the low-frequency part of the image carrier, thereby enhancing the robustness of image watermark. Using singular value decomposition (SVD) to put the watermark information R, G, B three color channels are hidden in the carrier image R, G, B three color channels. Tested to show that this method has good robustness and security, and could increases the capacity of embedded data information.