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Spatial Domain Blind Watermarking for Digital Images

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Progress in Computing, Analytics and Networking

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 710))

Abstract

In modern technological world, digital manipulation of images and video data has become very common. It is required to bring out some mechanism to protect copyright and authentication of digital data. In this work, a new blind digital watermarking algorithm is proposed for protecting copyright of digital images. In this work, embedding process is carried out in spatial domain by modifying luminance components of cover images. The cover image is divided into many blocks of size 8 × 8, and its correlation values are used as key in selecting blocks for inserting watermark. The image to be watermarked is called host image, and it could be in color or grayscale format. The secret data to be inserted is called watermark, and it is considered to be in monochrome format of size 32 × 32 bytes. This paper shows a novel approach in inserting a watermark in spatial domain. The obtained results show the efficiency of the proposed approach, and it could be classified as fragile watermarking.

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References

  1. Barni, M., Bartolini, F., Cappellini, V., & Piva, A. (1998). A DCT-domain system for robust image watermarking. Signal processing66(3), 357–372.

    Google Scholar 

  2. Nikolaidis, N., & Pitas, I. (1998). Robust image watermarking in the spatial domain. Signal processing66(3), 385–403.

    Google Scholar 

  3. Kutter, M., & Petitcolas, F. A. (1999, April). Fair benchmark for image watermarking systems. In Electronic Imaging’99 (pp. 226–239). International Society for Optics and Photonics.

    Google Scholar 

  4. Karybali, I. G., & Berberidis, K. (2006). Efficient spatial image watermarking via new perceptual masking and blind detection schemes. IEEE Transactions on Information Forensics and security, 1(2), 256–274.

    Google Scholar 

  5. Lin, P. L. (2000). Robust transparent image watermarking system with spatial mechanisms. Journal of systems and software50(2), 107–116.

    Google Scholar 

  6. Jun, L., & LiZhi, L. (2008, December). An improved watermarking detect algorithm for color image in spatial domain. In Future BioMedical Information Engineering, 2008. FBIE’08. International Seminar on (pp. 95–99). IEEE.

    Google Scholar 

  7. Murch, G. M. (1984). Physiological principles for the effective use of color. IEEE Computer Graphics and Applications, 4(11), 48–55.

    Google Scholar 

  8. Lin, E. T., Podilchuk, C. I., & Delp III, E. J. (2000, May). Detection of image alterations using semifragile watermarks. In Electronic Imaging (pp. 152–163). International Society for Optics and Photonics.

    Google Scholar 

  9. Megalingam, R. K., Nair, M. M., Srikumar, R., Balasubramanian, V. K., & Sarma, V. S. V. (2010, February). Performance comparison of novel, robust spatial domain digital image watermarking with the conventional frequency domain watermarking techniques. In Signal Acquisition and Processing, 2010. ICSAP’10. International Conference on (pp. 349–353). IEEE.

    Google Scholar 

  10. Sun, J., Yang, N., Liu, J., Yang, X., Li, X., & Zhang, L. (2010, July). Video watermarking scheme based on spatial relationship of DCT coefficients. In Intelligent Control and Automation (WCICA), 2010 8th World Congress on (pp. 56–59). IEEE.

    Google Scholar 

  11. Meerwald, P., & Uhl, A. (2001, August). Survey of wavelet-domain watermarking algorithms. In Photonics West 2001-Electronic Imaging (pp. 505–516). International Society for Optics and Photonics.

    Google Scholar 

  12. Hajisami, A., Rahmati, A., & Babaie-Zadeh, M. (2011, March). Watermarking based on independent component analysis in spatial domain. In Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on (pp. 299–303). IEEE.

    Google Scholar 

  13. Singh, A. K., Sharma, N., Dave, M., & Mohan, A. (2012, December). A novel technique for digital image watermarking in spatial domain. In Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on (pp. 497–501). IEEE.

    Google Scholar 

  14. Shih, F. Y., & Wu, S. Y. (2003). Combinational image watermarking in the spatial and frequency domains. Pattern Recognition36(4), 969–975.

    Google Scholar 

  15. Lee Rodgers, J., & Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician, 42(1), 59–66.

    Google Scholar 

  16. Mukaka, M. M. (2012). A guide to appropriate use of correlation coefficient in medical research. Malawi Medical Journal, 24(3), 69–71.

    Google Scholar 

  17. Allemang, R. J., & Brown, D. L. (1982, November). A correlation coefficient for modal vector analysis. In Proceedings of the 1st international modal analysis conference (Vol. 1, pp. 110–116). SEM, Orlando.

    Google Scholar 

  18. Fleiss, J. L., & Cohen, J. (1973). The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educational and psychological measurement, 33(3), 613–6 http://file.scirp.org/Html/22029.html.

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Correspondence to Maharshi Parekh .

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Parekh, M., Bidani, S., Santhi, V. (2018). Spatial Domain Blind Watermarking for Digital Images. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_50

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  • DOI: https://doi.org/10.1007/978-981-10-7871-2_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7870-5

  • Online ISBN: 978-981-10-7871-2

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