Abstract
To prevent the illegal copying and sharing of digital content, the need for security for digital data is highly demanded. Among various available techniques, digital watermarking is an effective solution to protect confidential data. This paper presents the performance analysis of color image watermarking based on lifting scheme in which color image watermark has been used. Peak signal-to-noise ratio (PSNR), Structural similarity (SSIM) index and normalized correlation coefficient (NCC), etc. have been used as fidelity parameters to test the effectiveness of presented work both quantitatively and qualitatively.
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References
Bender W, Gruhl D, Morimoto N, Lu A (1996) Techniques for data hiding. IBM Syst J 35(3&4):313–336
Wong PHW, Au OC, Yeung YM (2003) A novel blind multiple watermarking technique for image. IEEE Trans Circ Syst Video Technol. Special Issue on Authentication, Copyright Protection and Information Hiding 13(8)
Lin ET, Delp EJ (1999) A review of data hiding in digital images. In: Proceedings of the image processing, image quality, image capture systems conference (PICS’ 99), pp 274–278
Chou CH, Liu KC (2010) A perceptually tuned watermarking scheme for color images. IEEE Trans Image Process 19:2966–2982
Sweldens W (1998) The lifting scheme: a construction of second generation wavelets. SIAM J Math Anal 29(2):511–546
Chawla N, Pandey MK (2017) Lifting scheme based non-blind hybrid image watermarking technique using low frequency band. In: 7th IEEE international conference on communication systems and network technologies (CSNT)
Golea NH, Seghir R, Benzid R (2010) A blind RGB color image watermarking based on singular value decomposition. In: Proceedings of IEEE international conference on computer systems and applications
Wu L, Zhang J, Deng W, He D (2009) Arnold transformation algorithm and anti-Arnold transformation algorithm. In: Proceedings of information science and engineering international conference, Nanjing, China
Image database. http://sipi.usc.edu/database/database.php
Pandey MK, Parmar G, Gupta R (2018) A robust non blind hybrid color image watermarking with Arnold transform. ICTACT J Image Video Process 9(01)
Gupta M, Parmar G, Gupta R, Saraswat M (2015) Discrete wavelet transform-based color image watermarking using uncorrelated color space and artificial bee colony. Int J Comput Intell Syst 8(2):364–380
Vahedi E, Zoroofi RA, Shiva M (2012) Toward a new wavelet-based watermarking approach for color images using bio-inspired optimization principles. In: Digital signal processing, vol 22. Elsevier, pp 153–162
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Pandey, M.K., Parmar, G., Sikander, A. (2020). Performance Analysis of Color Image Watermarking with Lifting Scheme. In: Sikander, A., Acharjee, D., Chanda, C., Mondal, P., Verma, P. (eds) Energy Systems, Drives and Automations. Lecture Notes in Electrical Engineering, vol 664. Springer, Singapore. https://doi.org/10.1007/978-981-15-5089-8_50
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DOI: https://doi.org/10.1007/978-981-15-5089-8_50
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