Using the discrete wavelet transform to haar'd code a blind digital watermark

作者: Michael Weeks , Evelyn Brannock

DOI:

关键词:

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,

参考文章(43)
Alan C. Bovik, Hamid R. Sheikh, Eero P. Simoncelli, Zhou Wang, Image Quality Assessment: From Error Measurement to Structural Similarity ,(2004)
A.M. Eskicioglu, P.S. Fisher, Image quality measures and their performance IEEE Transactions on Communications. ,vol. 43, pp. 2959- 2965 ,(1995) , 10.1109/26.477498
Hou Yingkun, Zhu Xiangcai, Zhu Lili, Liu Mingxia, Image with Less InformationWatermarking Algorithm Based on DWT software engineering, artificial intelligence, networking and parallel/distributed computing. ,vol. 1, pp. 383- 387 ,(2007) , 10.1109/SNPD.2007.52
Gengming Zhu, Research on an Advanced Novel Watermarking Technology with Higher Robustness international symposium on electronic commerce and security. pp. 946- 950 ,(2008) , 10.1109/ISECS.2008.143
Zhou Wang, A.C. Bovik, A universal image quality index IEEE Signal Processing Letters. ,vol. 9, pp. 81- 84 ,(2002) , 10.1109/97.995823
F. Hartung, M. Kutter, Multimedia watermarking techniques Proceedings of the IEEE. ,vol. 87, pp. 1079- 1107 ,(1999) , 10.1109/5.771066
Di Zhang, Ed Jernigan, An Information Theoretic Criterion for Image Quality Assessment Based on Natural Scene Statistics international conference on image processing. pp. 2953- 2956 ,(2006) , 10.1109/ICIP.2006.312926
D. Kirovski, F.A.P. Petitcolas, Blind pattern matching attack on watermarking systems IEEE Transactions on Signal Processing. ,vol. 51, pp. 1045- 1053 ,(2003) , 10.1109/TSP.2003.809383