Watermark Vector Of Characteristics In Image Watermarking Applications

With the rapid development of multimedia, the multimedia security becomes animportant and challenging research topic. Digital watermarking technique is a newmethod for digital content protection and becomes an important research area in thefield of multimedia security.The work is focused on the key techniques of digital watermarking for features ofimages, which include blind detection, robustness, invisibility. The presented study isthe current research focus of watermarking techniques. Features region-basedwatermarking technique is studied, the main contributions of this dissertation can besummarized as follows:1. A new robust image watermarking algorithm based on textures features region ispresented. Hierarchical cluster analysis is applied for extracting gray level-gradientco-occurrence matrix features to decide the prime area for embedding watermarking.Experimental results show that the presented scheme is robust to geometricalsynchronization, noise addition, sheafing and JPEG compression attacks under thefidelity of the watermarked image is fine.2. A new robust image watermarking algorithm based on discrete wavelet transformfeatures region is presented. Fuzzy c-means cluster is applied for extracting wavelettransform domain features to decide the prime area for embedding watermarking.Experimental results show that the proposed technique can survive geometricalsynchronization and noise addition attacks more robustness compared with algorithmbased on image textures features region.