Abstract
This paper proposes a novel blind logo multi-resolution watermarking technique based on independent component analysis (ICA) for extraction. To exploit the human visual system (HVS) and the robustness, a perceptual model is applied with a stochastic approach based on noise visibility function (NVF) for adaptive watermarking algorithm. A logo watermark is embedded by modifying middle-frequency sub-bands of wavelet transform. The new detection technique based on ICA is introduced during the extraction phase to ensure a blind watermark. The proposed algorithm is checked for the robustness to several compression algorithms such as Jpeg, jpeg 2000, SPIHT, EZW, and principal components analysis (PCA) based compression and also robust against various image and digital processing operators.
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References
Barni, M., Bartolini, F., Piva, A.: Improved Wavelet-Based Watermarking Through Pixel-Wise Masking. IEEE Trans., Image Process. 10(5), 783–791 (2001)
Dugad, R., Ratakonda, K., Ahuja, N.: A new wavelet-based scheme for watermarking images. In: Proc. of the IEEE, ICIP 1998, Chicago, IL, USA (1998)
Xia, X.G., Boncelet, C.G., Arce, G.R.: Wavelet transform based watermark for digital images. Optics Express, 497–450 (1998)
Kim, J.R., Shik Moon, Y.: A robust wavelet-based digital watermark using level-adaptive thresholding. In: Proc., of IEEE, ICIP 1999, Kobe, Japan, p. 202 (1999)
Xie, L., Arce, G.R.: Joint wavelet compression and authentication watermarking. In: Proceedings of the IEEE, ICIP 1998, Chicago, IL, USA (1998)
Inoue, H., Miyazaki, A., Yamamoto, A., Katsura, T.: A Digital Watermark based on the wavelet Transform and its Robustness on Image Compression. In: Proc., of IEEE, ICI 1998, pp. 391–395 (1998)
Kundur, D., Hatzinakos, D.: Digital watermarking using multiresolution wavelet decomposition. In: Proc., of IEEE, ICASSP 1998, Seattle, WA, USA, vol. 5, pp. 2969–2972 (1998)
Delaigle, J.F., De Vleeschouwer, C., Macq, B.: Watermarking based on a human visual model. Signal process., Special Issue on Watermarking 66(3), 319–336 (1998)
Voloshynovskiy, S., Herrigel, A., Baumgaetner, N., Pun, T.: A stochastic approach to content adaptive digital image watermarking. In: Pfitzmann, A. (ed.) IH 1999. LNCS, vol. 1768, pp. 212–236. Springer, Heidelberg (2000)
Podilchuk, C.I., Zeng, W.: Image-Adaptive Watermarking Using Visual Models. IEEE Journal Selected Areas of Communications (JSAC) 16(4), 525–539 (1998)
Bingham, E., Hyvärinen, A.: A fast fixed-point algorithm for independent component analysis of complex-valued signals. Int. Journal of Neural Systems 10(1), 1–8 (2000)
Hyvärinen, A., Oja, E.: Independent Component Analysis: Algorithms and Applications. Neural Networks 13(4), 411–430 (2000)
Bell, A.J., Sejnowski, T.J.: An information maximization approach to blind separation and blind deconvolution. Neural Computation 7(6), 1129–1159 (1995)
Cardoso, J.-F.: High-order contrasts for independent component analysis. Neural computation 11(1), 157–192 (1999)
Cichocki, A., Barros, A.K.: Robust Batch Algorithm for Sequential Blind Extraction of Noisy Biomedical Signals. In: Fifth Int., Sym., on Signal Process., and App (ISSPA 1999), vol. 1, pp. 363–366 (1999)
Cruces, S., Castedo, L., Cichocki, A.: Robust blind source separation algorithms using cumulants. Neurocomputing 49, 87–118 (2002)
Shapiro, M.: Embedded image coding using zerotree of wavelet coefficients. IEEE Trans., Signal Proc. 41(12) (1993)
Said, A., Pearlman, W.A.: A New Fast and Efficient Image Codec Based on Set Partitioning in Hierarchical Trees. IEEE Trans., Circuits and Systems for Video Tech. 6, 243–250 (1996)
Christopoulos, C., Skodras, A., Ebrahimi, T.: The JPEG2000 still image coding system: An Overview. IEEE Trans., Consumer Electronics 46(4), 1103–1127 (2000)
Hsu, C.T., Wu, J.-L.: Hidden Digital Watermarks in Images. IEEE Trans. On Image Process. 8(1), 58–68 (1999)
Lu, C.-S., Huang, S.-K., Sze, C.-J., Mark Liao, H.-Y.: Cocktail Watermarking for Digital Image Protection. IEEE Trans., Multimedia 2(4), 209–224 (2000)
Huang, H.C., Wang, F.H., Pan, J.S.: A VQ-Based Robust Multi-Watermarking Algorithm. IEICE trans., fundamentals E85-A(7) (July 2002)
Yu, D., Sattarand, F., Ma, K.: Watemarking Detection and Extraction using Independent Component Analysis Methods. EURASIP Journal on Applied Signal Processing 1, 92–104 (2002)
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Hien, T.D., Nakao, Z., Chen, YW. (2004). A Robust Logo Multiresolution Watermarking Based on Independent Component Analysis Extraction. In: Kalker, T., Cox, I., Ro, Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24624-4_32
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DOI: https://doi.org/10.1007/978-3-540-24624-4_32
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