Abstract
Many digital watermarking algorithms are proposed in the literature. Broadly these watermarking algorithms can be classified into two main categories. The first category of algorithms uses a pseudo random Gaussian sequence (PRGS) watermark whereas the second category of algorithms uses a binary logo as a watermark. The main advantage of PRGS based watermarking scheme is its ability to detect the presence of watermark without manual intervention. However the main drawback is calculating reliable threshold value. In the similar manner the main advantage of binary logo watermark is that there is no need to calculate threshold value but requires manual intervention to detect the presence of watermark. The advantage and disadvantage of either approach is quite clear hence it would be a good idea to design a watermarking scheme which inherits the advantages from both these approaches. In this paper we present one such approach which is termed as bar-code watermarking. The proposed scheme offers objective as well as subjective detection. A PRGS sequence watermark is represented as a bar-code on a binary logo and embedded in the host image. Watermark detection can be either done subjectively or objectively.
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References
Tsai, M.J., Yu, K.Y., Chen, Y.Z.: Joint Wavelet and spatial transformation for digital watermarking. IEEE Transactions on Consumer Electronics 46, 241–245 (2000)
Chen, T.Z., Horng, G., Wang, S.H., Robust, A.: Wavelet Based Watermarking Scheme using Quantization and Human Visual System Model. Proceedings of the Pakistan Journal of Information and Technology 2, 212–230 (2003)
Hsu, C.T., Wu, J.L.: Multi-resolution Watermarking for Digital Images. IEEE Transactions on Circuits and System—II Analog and Digital Signal Processing 45, 1097–1101 (1998)
Lu, C.S., Huang, S.-K., Sze, C.-J., Liao, H.-Y.: A new watermarking technique for multimedia protection. Multimedia Image and Video Processing, Boca Raton, FL (2001) (presented)
Raval, M.S., Rege, P.P.: Discrete wavelet transform based multiple watermarking scheme. In: Proceedings of the Convergent Technologies for the Asia-Pacific Region, Bangalore, India (2003)
Ganic, E., Eskicioglu, A.M.: Robust digital watermarking: Robust DWT-SVD domain image watermarking: embedding data in all frequencies. In: Proceedings of the 2004 Multimedia and Security Workshop on Multimedia and Security (2004)
Barni, M., Bartolini, F., Piva, A.: Improved Wavelet-based Watermarking Through Pixel-Wise Masking. IEEE Transactions on Image Processing 10, 783–791 (2001)
Meerwald, P.: Digital Image Watermarking in the Wavelet Transform Domain, University of Salzburg (2001)
Lewis, A.S., Knowles, G.: Image Compression using 2-D Wavelet Transform. IEEE Transactions on Image Processing 1, 244–250 (1992)
Potdar, V., Han, S., Chang, E.: Self Image Logo Embedding – A Robust Image Watermarking Algorithm in Wavelet Domain. International Journal of Information Security and Privacy (to appear, 2007)
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© 2007 Springer-Verlag Berlin Heidelberg
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Potdar, V., Han, S., Chang, E., Wu, C. (2007). Subjective and Objective Watermark Detection Using a Novel Approach – Barcode Watermarking. In: Wang, Y., Cheung, Ym., Liu, H. (eds) Computational Intelligence and Security. CIS 2006. Lecture Notes in Computer Science(), vol 4456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74377-4_60
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DOI: https://doi.org/10.1007/978-3-540-74377-4_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74376-7
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