Adaptive Watermarking Based DCT with Set Partitioning in Hierarchical Trees

Volume: 4    Issue: 2

Year of Publication: 2017

Pages: (5-10)

Authors: Simranjot Kaur, Er.Maninder Sharma

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Abstract

In this paper, we propose a new adaptive watermarking scheme. One first contribution is a DCT modulation which adaptively takes care of the local specificities of the image content. The suggested scheme uses the embedded watermark to estimate the degradation of cover image under different distortions. The watermarking process is implemented in DCT domain of the cover image. The correlated DCT coefficients across the DCT sub-bands are categorized into Set Partitioning in Hierarchical Trees (SPIHT). Those SPHIT trees are further decomposed into a set of bit-planes. The watermark is embedded into the selected bit-planes of the selected DCT coefficients of the selected tree without causing powerful fidelity loss to the cover image. The experiments will be performed to estimate the image quality in terms of PSNR, MSE and SSIM. The results obtained will show that the proposed scheme has good computational capability for practical applications. Also we conclude from the experiments that it leads to optimal watermarking conduct. For the performance of this proposed work Image Processing Toolbox under the MATLAB software is used.

References

1. Kim, S.-W.K.S.-W. & Suthaharan, S., 2004. An entropy masking model for multimedia content watermarking. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the, 0(2002), pp.1–6.

2. Sha Wang, Dong Zheng, Jiying Zhao, Wa James Tam, and Filippo Speranza “Adaptive Watermarking and Tree Structure Based Image Quality Estimation” IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 16, NO. 2, FEBRUARY 2014

3. Abhilash, S. & Shamseerdaula, S.M., 2013. OPEN ACCESS A Novel Lossless Robust Reversible Watermarking Method for Copyright Protection of Images. , 3(6), pp.317–323.

4. D. Coltuc, “Improved embedding for prediction-based adaptive watermarking,” IEEE Trans. Inf. Forensics Security, vol. 6, no. 3, pp. 873–882, Sep. 2011.

5. H. J. Hwang, H. J. Kim, V. Sachnev, and S. H. Joo, “Adaptive watermarking method using optimal histogram pair shifting based on prediction and sorting,” KSII, Trans. Internet Inform. Syst., vol. 4, no. 4, pp. 655–670, Aug. 2010.

6. W. Pan, G. Coatrieux, N. Cuppens, F. Cuppens, and C. Roux, “An additive and lossless watermarking method based on invariant image approximation and Haar wavelet transform,” in Proc. IEEE EMBC Conf., Buenos Aires, Argentina, 2010, pp. 4740–4743.

7. V. Sachnev, H. J. Kim, J. Nam, S. Suresh, and Y.-Q. Shi, “Adaptive watermarking algorithm using sorting and prediction,” IEEE Trans. Circuit Syst. Video Technol., vol. 19, no. 7, pp. 989–999, Jul. 2009.

8. G. Coatrieux, C. Le Guillou, J.-M. Cauvin, and C. Roux, “Adaptive watermarking for knowledge digest embedding and reliability control in medical images,” IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 2, pp. 158–165, Mar. 2009.

Keywords

DCT, SPIHT, Watermarking, PSNR, MSE, SSIM.