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Invisible Image Watermarking by DWT-HUFFMAN-EZW Methodology

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Book cover Optical and Wireless Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 472))

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Abstract

In information security world, invisible image watermarking is the important part. Many invisible image watermarking algorithms fail to achieve the good quality-based watermarking with high security. In this paper, we are working to improve the performance of the invisible watermarking. We are proposing a DWT-EZW-based watermarking. In the results session, we are showing the comparison between DWT-FWHT-SVD and DWT-Huffman-EZW-based watermarking. Comparison is shown for peak signal to noise ratio (PSNR) and mean square error (MSE).

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References

  1. Urvoy M, Goudia D, Autrusseau F (2014) Perceptual DFT watermarking with improved detection and robustness to geometrical distortions. IEEE Trans Inf Forensics Secur 9(7):1108–1119

    Google Scholar 

  2. Kamran M, Farooq M (2012) An information-preserving watermarking scheme for right protection of EMR systems. IEEE Trans Knowl Data Eng 24(11):1950–1962

    Google Scholar 

  3. Wang C, Ni J, Huang J (2012) An informed watermarking scheme using hidden Markov model in the wavelet domain. IEEE Trans Inf Forensics Secur 7(3):853–867

    Google Scholar 

  4. Bi N, Sun Q, Huang D, Yang Z, Huang J (2007) Robust image watermarking based on multi band wavelets and empirical mode decomposition. IEEE Trans Image Process 16(8):1956–1966

    Google Scholar 

  5. Kundur D, Hatzinakos D (1999) Digital watermarking for telltale tamper proofing and authentication. In: Proceeding of IEEE, vol 87, no 7, pp 1167–1180

    Google Scholar 

  6. Zareian M, Tohidypour HR (2013) Robust quantization index modulation-based approach for image watermarking. IET Image Process 7(5):432–441

    Google Scholar 

  7. Senthil V, Bhaskaran R (2008) Digital image watermarking using edge detection and wavelets with robustness analysis against jpeg compression attacks. In: International conference on innovations in information technology, pp 583–587, 16–18

    Google Scholar 

  8. Raval K, Zafar S (2013) Digital watermarking with copyright authentication for image communication. In: IEEE international conference on intelligent systems and signal processing (ISSP), pp 1l1–1l6

    Google Scholar 

  9. Kasmani SA, Naghsh-Nilchi A (2008) A new robust digital image watermarking technique based on joint DWT-DCT transformation. In: IEEE third international conference on convergence and hybrid information technology, pp 539–544

    Google Scholar 

  10. Shi H, Wang N, Wen Z, Wang V, Zhao H, Yang Y (2012) An RST invariant image watermarking scheme using DWTSVD. In: IEEE international symposium on instrumentation, measurement, sensor network and automation (IMSNA), pp 214–217

    Google Scholar 

  11. Singh P, Agarwal S, Pandey A (2012) A hybrid DWTSVD based robust watermarking scheme for color images and its comparative performance in YIQ and YIV color spaces. In: 3rd IEEE international advance computing conference (IACC), pp 1213–1218

    Google Scholar 

  12. Lai CC, Tsai CC (2010) Digital image watermarking using discrete wavelet transform and singular value decomposition. IEEE Trans Instrum Meas 59(11):3060–3063

    Google Scholar 

  13. Lagzian S, Soryani M, Fathy M (2011) Robust watermarking scheme based on RDWT-SVD: embedding data in all sub bands. IEEE, pp 48–52

    Google Scholar 

  14. Kang X, Huang J, Shi Q, Van Lin Y (2003) A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Trans Circ Syst Video Technol 13(8):776–786

    Google Scholar 

  15. Rao VS, Shekhawat RS, Srivastava VK (2012) A DWT-DCT-SVD based digital image watermarking scheme using particle swarm optimization. IEEE students’ conference on electrical, electronics and computer science (SCEECS), pp 1–4

    Google Scholar 

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Correspondence to Vipra Bohara .

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Bohara, V., Toshniwal, S. (2018). Invisible Image Watermarking by DWT-HUFFMAN-EZW Methodology. In: Janyani, V., Tiwari, M., Singh, G., Minzioni, P. (eds) Optical and Wireless Technologies. Lecture Notes in Electrical Engineering, vol 472. Springer, Singapore. https://doi.org/10.1007/978-981-10-7395-3_27

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  • DOI: https://doi.org/10.1007/978-981-10-7395-3_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7394-6

  • Online ISBN: 978-981-10-7395-3

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