Abstract
With the faster Internet and data separation method were used widely and quickly, digital image watermarking becomes an important topic of intellectual property in the digital age. This paper proposes a method that can process image watermarking based on a robust method which combines the Singular Value Decomposition (SVD) and Distributed Discrete Wavelet Transformation (DDWT) over cloud computing environments. Hadoop system with the integrate functions, HDFS and MapReduce will play the key roles for this implementation.
This work is supported in part by the National Science Council, Taiwan R.O.C., under grants no. NSC 100-2622-E-029-008-CC3.
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References
Andrews, H.C., Patterson, C.L.: Singular Value Decomposition (SVD) Image Coding. IEEE Transactions on Communications, 425–432 (1976)
Garguir, N.: Comparative Performance of SVD and Adaptive Cosine Transform in Coding Images. IEEE Transactions on Communications, 1230–1234 (1979)
Leary, D.P.O., Peleg, S.: Digital Image Compression by Outer Product Expansion. IEEE Transactions on Communications, 441–444 (1983)
Liu, R., Tan, T.: An SVD-based Watermarking Scheme for Protecting Rightful Ownership. IEEE Transactions on Multimedia, 121–128 (2002)
Tang, X., Yang, L., Yue, H., Yin, Z.: A Watermarking Algorithm Based on the SVD and Hadamard Transform. In: International Conference on Communications, Circuits and Systems, Hongkong, China, p. 877 (2005)
Ma, L., Li, C., Song, S.: Digital Watermarking of Spectral Images Using SVD in PCA-Transform Domain. In: IEEE International Symposium on Communications and Information Technology, Beijing, China, pp. 1489–1492 (2005)
Deng, T.B., Nakagawa, Y.: SVD-based Design and New Structures for Variable Fractional-delay Digital Filters. IEEE Transactions on Signal Processing, 2513–2527 (2004)
Redif, S., Cooper, T.: Paraunitary Filter Bank Design via a Polynomial Singular-Value Decomposition. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Quebec, Canada, pp. 613–616 (2005)
Karkarala, R., Ogunbona, P.O.: Signal Analysis Using a Multiresolution Form of the Singular Value Decomposition. IEEE Transactions on Image Processing, 724–735 (2001)
Vozalis, M.G., Margaritis, K.G.: Applying SVD on Item-Based Filtering. In: 5th International Conference on Intelligent Systems Design and Applications, Wroclad, Poland, pp. 464–469 (2005)
Lin, C.H., Jen, J.S., Kuo, L.C.: Distributed Discrete Wavelet Transformation for Copyright Protection. In: 7th International Workshop on Image Analysis for Multimedia Interactive Services, Incheon, Korea, pp. 53–56 (2006)
The ApacheTM HadoopTM project, http://hadoop.apache.org/
Jaliya, E., Shrideep, P., Geoffrey, F.: MapReduce for Data Intensive Scientific Analyses. In: Proceedings of the IEEE Fourth International Conference on eScience, Indianapolis, USA, pp. 277–284 (2008)
Lin, C.H., Liu, J.C., Shih, C.H., Lee, Y.W.: A Robust Watermark Scheme for Copyright Protection. In: Multimedia and Ubiquitous Engineering, Busan, Korea, pp. 132–137 (2008)
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Yang, CT., Lin, CH., Chang, GL. (2011). Implementation of Image Watermarking Processes on Cloud Computing Environments. In: Chang, RS., Kim, Th., Peng, SL. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2011. Communications in Computer and Information Science, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23948-9_16
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DOI: https://doi.org/10.1007/978-3-642-23948-9_16
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