The rapid development of Internet caused a set of challenging problems regarding security. Everyone can duplicate the digital data without permission. Therefore, it raised the awareness of the copyright problems in the e-commerce age. Digital watermarking is a technique of embedding a hidden signal into digital contents to identify the legitimate owner, track unauthorized use or detect intentional tampering. To increase the robustness of watermark, many research papers have been proposed to embed the watermark in different frequency domains rather than in spatial domain. For the same reason, this thesis focuses on embedding the watermark into the Curvelet Transform developed by Candµes and Donoho. In tradition, Curvelet watermarks are embedded into all frequency bands. However, the study of individual band or mixed bands behavior and their usage on watermarking have not been reported. Thus, this thesis provides a detailed study of the watermarking using individual band or mixed-bands based on the Curvelet Transform.
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The rapid development of Internet caused a set of challenging problems regarding security. Everyone can duplicate the digital data without permission. Therefore, it raised the awareness of the copyright problems in the e-commerce age. Digital watermarking is a technique of embedding a hidden signal into digital contents to identify the legitimate owner, track unauthorized use or detect intentional tampering. To increase the robustness of watermark, many research papers have been proposed to embed the watermark in different frequency domains rather than in spatial domain. For the same reason, this thesis focuses on embedding the watermark into the Curvelet Transform developed by Candµes and Donoho. In tradition, Curvelet watermarks are embedded into all frequency bands. However, the study of individual band or mixed bands behavior and their usage on watermarking have not been reported. Thus, this thesis provides a detailed study of the watermarking using individual band or mixed-bands based on the Curvelet Transform.
Hon-Yin Leung received his B.Eng and M.Phil degrees in computer engineering and electronic engineering from City University of Hong Kong in 2007 and 2009 respectively. His research interests include digital watermarking, FPGA implementation, RFID security and digital image processing.
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Taschenbuch. Zustand: Neu. Study of Digital Image Watermarking in Curvelet Domain | Applications of Digital Watermarking in Frequency Domain | Hon Yin Leung (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639363036 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 112046864
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