Evaluvation of Multiresolution Watermarking Algorithm

S. Thabasu Kannan, S. Azhagu Senthil

Abstract


Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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References


Multiresolution video watermarking using perceptual models and scene segmentation,” in Proc. ICIP10, Santa Barbara, CA, 2010, vol. II, pp. 1151–1154.

W. Zhu, Z. Xiong, and Y.-Q. Zhang, “Multiresolution watermarking for images and video: A unified approach,” in Proc. ICIP98, Chicago, IL, Oct. 1998.

Hsu, C. T. and Wu, J. L., ”Multiresolution watermarking for digital images,” Circuits and Systems II: Analog and Digital Signal Processing, IEEE Trans.,Vol. 45, pp. 1097-1101 (1998).

Niu, X. M., Lu, Z. M. and Sun, S. H., Digital image watermarking based on multiresolution decomposition, Electronics Letters, Vol. 36, pp. 1108-1110 (2000).

Xia, X. G., Boncelet, C. G. and Arce, G. R., “A multiresolution watermark for digital images,” Proc. Int. Conf. on Image Processing 97, Santa Barbara, CA, U. S. A. Vol. I, pp. 548-551, (1997).

Bors, A. G. and Pitas, I., “Image watermarking using DCT domain constraints,” Proc. of Int. Conf. on Image Processing, Vol. 3, pp.

-234 996).

Hsieh, C. T., Lu, Y. L., Luo, C. P. and Kuo, F. J., “A study of enhancing the robustness of watermark,” Proc. IEEE Int. Sym. On Multimedia Software Engineering, Taiwan, pp. 325-327 (2000).

Kuo, C. J. and Chen, M. S., “A new signal encryption technique and its attack study, Proc. Int. Conf. on Security Technology,” Taipei, Taiwan, pp. 149-153 (1991).

Luo, C. P., “A study of the robustness of watermark,” Master Thesis, University of Tamkang, Taiwan, R. O. C. (2001).

Wei, Z. H., Qin, P. and Fu, Y. Q., “Perceptual digital watermark of images using wavelet transform,” Consumer Electronics, IEEE Trans., Vol. 44, pp. 1267-1272 (1998).




DOI: https://doi.org/10.23956/ijarcsse.v7i8.29

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