作者: Michael Weeks , Evelyn Brannock
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摘要: Safeguarding creative content in a digital form has become increasingly difficult. It is progressively easier to copy, modify and redistribute media, which causes great declines business profits. For example, the International Federation of Phonographic Industry estimates that 2001 worldwide sales pirated music CDs were 475 million US dollars. While large amount time money committed creating intellectual property, legal means have not proven be sufficient for protection this property. Digital watermarking steganographic technique been proposed as possible solution problem. A watermark hides embedded information about origin, status, owner and/or destination data, often without knowledge viewer or user. This dissertation examines utilizes properties Discrete Wavelet Transform (DWT). Research done field, but wavelet family superior adequately addressed. This studies influence when using blind, nonvisible media. The algorithm uses database multiple images with diverse properties. Various watermarks are embedded. Eight different families wavelets dissimilar compared. How effective each wavelet? To objectively measure success algorithm, mother wavelet, imperceptibility readability extracted watermark, Peak Signal-to-Noise Ratio Image Quality Index image obtained. Two common categories attacks removing rendering undetectable. simulate examine effect on images, noise added data. Also, test reducing an size, containing compressed. The asks questions: “Is chosen implement consequence? If so, superior?” conclusively shows Haar transform best non-visible watermarking. INDEX WORDS: Dissertation, Graduate degree, Georgia State University, Watermark, Digital watermarking, Wavelet,