Abstract
A semi-fragile watermarking algorithm for digital image content authentication is proposed in this paper. The watermark is generated from the Zernike moments of the low frequency subband in IWT (integer wavelet transform) domain of the original image. This sort of image-dependent watermark can resist forgery attack and improve the watermark security. Watermark is embedded in the IWT domain of an image by exploiting the features of human visual system (HVS). It makes the high-fidelity and high-quality watermarked image. Moreover, we can distinguish mild distortion from severe distortion according to the difference of Zernike moments before and after attack. Experimental results show that the proposed algorithm is fragile to malicious tamper and can locate the tampered area accurately while is robust to content-preserved manipulation, such as JPEG lossy compression.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fridrich, J.: Security of fragile authentication watermarks with localization. In: SPIE Security and Watermarking of Multimedia Contents IV, San Jose, pp. 691–700 (2002)
Fridrich, J.: Methods for tamper detection in digital images. In: Proc. ACM Workshop on Multimedia and Security, Orlando, pp. 19–23 (1999)
Lin, E.T., Delp, E.J.: A review of fragile image watermarks. In: Proc of the Multimedia and Security Workshop at ACM Multimedia, pp. 36–39 (1999)
Yeung, M., Mintzer, F.: An invisible watermarking technique for image verification. In: Proc. of ICIP, vol. 2, pp. 680–683 (1997)
Wu, M., Liu, B.: Watermarking for image authentication. In: Proc. of ICIP, vol. 2, pp. 437–441 (1998)
Kundur, D., Hatzinakos, D.: Towards a telltale watermark techniques for tamper-proofing. In: Proc. of ICIP, vol. 2, pp. 409–413 (1998)
Lin, C.Y., Chang, S.F.: Semi-fragile watermarking for authentication jpeg visual content. In: SPIE Security and Watermarking of Multimedia Content II, San Jose, pp. 140–151 (2000)
Xie, L., Arce, G.: Joint wavelet compression and authentication watermarking. In: Proc. of ICIP, vol. 2, pp. 427–431 (1998)
Han, S.J., Chang, I.S., Park, R.H.: Semi-fragile watermarking for tamper proofing and authentication of still images. In: Proc. of IWDW, pp. 347–358 (2003)
Daubechies, I., Sweldens, W.: Factoring wavelet transforms into lifting steps. Journal of Fourier Analysis 4, 245–267 (1998)
Calderbank, R., Daubechies, I., Sweldens, W., Yeo, B.L.: Wavelet transforms that map integers to integers. Journal of Applied and Computational Harmonic Analysis 5, 332–369 (1998)
Khotanzad, A., Hong, Y.H.: Invariant Image Recognition by Zernike moments. IEEE Trans on Pattern Analysis and Machine Intelligence 12, 489–497 (1990)
Watson, B., Yang, G.Y., Solomon, A., Villasenor, J.: Visibility of wavelet quantization noise. IEEE Trans on Image Processing 6, 1164–1175 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, X., Liu, H., Huang, J. (2005). Semi-fragile Watermarking Based on Zernike Moments and Integer Wavelet Transform. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_153
Download citation
DOI: https://doi.org/10.1007/11552451_153
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
eBook Packages: Computer ScienceComputer Science (R0)