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Research Of Image Watermarking Technology Based On Vision Characteristics

Posted on:2007-11-05Degree:MasterType:Thesis
Country:ChinaCandidate:S C YangFull Text:PDF
GTID:2178360185478171Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Security is a very serious problem in the application of network and multimedia. To solve the problem, nowadays many technologies are considered, especially for image watermarking technology, which catches a wide attention for its unique advantages in copyright protection, and becomes the hotspot of current researches. Human vision system (HVS) theory is very important for image watermarking technology. Watermarking algorithm of good perception property can be designed by making full use of vision masking of HVS. When a watermark is extracted from a watermarked image that suffered attacks, better effect can be gained by reconstructing the watermark image based on vision characteristics. In the paper, the research of image watermarking is based on human vision characteristics. Firstly, by analyzing former researches and visible watermark characteristics, a visible watermarking algorithm with feature of holding image content is realized. Secondly, using redundant embedding technique to embed watermark and extracting watermark according to watermark content, a meaningful invisible watermarking scheme is proposed; Thirdly, combining with vision characteristics a resilient-prone scrambling algorithm and a restoring scheme of scrambled image with data loss are proposed, image scrambling technique of irregular region is discussed. Based on the proposed algorithms, a digital watermarking system scheme is designed. Moreover, an image watermarking system based on vision characteristics is realized by integrating the proposed algorithms. Experimental results show, the ideas that proposed in the paper is correct and the research is creative.
Keywords/Search Tags:digital watermarking, vision characteristics, image scrambling, visible watermarking, region of interest
PDF Full Text Request
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