Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model
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Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model

Authors: Sherin M. Youssef, Ahmed Abouelfarag, Noha M. Ghatwary


An adaptive Fuzzy Inference Perceptual model has been proposed for watermarking of digital images. The model depends on the human visual characteristics of image sub-regions in the frequency multi-resolution wavelet domain. In the proposed model, a multi-variable fuzzy based architecture has been designed to produce a perceptual membership degree for both candidate embedding sub-regions and strength watermark embedding factor. Different sizes of benchmark images with different sizes of watermarks have been applied on the model. Several experimental attacks have been applied such as JPEG compression, noises and rotation, to ensure the robustness of the scheme. In addition, the model has been compared with different watermarking schemes. The proposed model showed its robustness to attacks and at the same time achieved a high level of imperceptibility.

Keywords: Watermarking, The human visual system (HVS), Fuzzy Inference System (FIS), Local Binary Pattern (LBP), Discrete Wavelet Transform (DWT).

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[1] Hsieh.M., "Perceptual Copyright Protection Using Multi-Resolution Wavelet-Based Watermarking and Fuzzy Logic". International Journal of Artificial Intelligence & Applications (IJAIA), Vol.1, No.3, July 2010,pp 48-57.
[2] Manjula, R., & Settipalli, N. "A new Relational Watermarking Scheme Resilient to Additive Attacks". International Journal of Computer Applications, Vol. 10, No. 5, November 2010 pp 1-7.
[3] M.Mohamed Sathik and S.S.Sujatha,"A novel DWT based Invisible Watermarking Technique for Digital Images". International Arab Journal of e-Technology,Vol. 2, No. 3,. Pp167-173. January 2012.
[4] Oueslati, S., Cherif, A., & Solaiman, B., "A Fuzzy Watermarking System Using the Wavelet Technique for Medical Images", International Journal of Research and Reviews in Computing Engineering, Volume 1, No. March 2011,pp 3-8
[5] Podilchuk and C.I. Wenjun Zeng "Image-adaptive watermarking using visual models" Lucent Technol., Bell Labs., Murray Hill, NJ, IEEE Journal, vol.16, Issue: 4,pp. 525-539 ,May 1998. 5
[6] Cox, I. J., Miller, M. L., Bloom, J. A., & Way, I. "Watermarking applications and their properties", Int. Conf. on Information Technology2000.pp1-5.
[7] Barni M, Bartolini F, Piva A. "Improved wavelet-based watermarking through pixel-wise masking", IEEE Transactions on Image Processing 2001;10:783-91.
[8] Sujatha S.S, Sathik M.M,"A novel Pixel Based Blind Watermarking Algorithm by Applying Fibonacci Transform", Proc of ACM, September 20120, pp 197-202.
[9] S.P. Mohanty , K.R. Ramkrishnan and M.S. Kankanhalli, "An Adaptive DCT Domain Visible Watermarking Technique for Protection of Publicly Available Images" in International Conference on Multimedia Processing and Systems, Chennai, India, August 13-15, 2000.
[10] Der-Chyuan Lou, Te-Lung Yin, and Ming-Chang Chang," Robust Digital Watermarking Using Fuzzy Inference Technique", Journal of C.C.I.T., Vol.32, no.2, may 2004.
[11] Lande, P. U. "A Fuzzy Logic Approach To Encrypted Watermarking For Still Images In Wavelet" ,2010, pp 1-10.
[12] Schyndel, R. G., Tirkel, a. Z., & Osborne, C. F. (n.d.)., " A digital watermark", Proceedings of 1st International Conference on Image Processing, IEEE Vol 2, ,pp 86-90.
[13] Available Online at Improving Security And Reducing Effect Of Attacks On. (2011)., 2(7), 111-113.
[14] Jabade, V., Gengaje S., "Literature Review of Wavelet Based Digital Image Watermarking Techniques", International Journal of Computer Applications ,Volume 31- No.1, October 2011, pp 28-35.
[15] Huang, D., Member, S., Shan, C., Ardabilian, M., Wang, Y., & Chen, L. "Local Binary Patterns and Its Application to Facial Image Analysis" : November 2011, Vol.41, No.6, pp 765-781.
[16] Tao P., Eskicioglu A>M,"A robust multiple watermarking scheme in the discrete wavelet transform domain", Proceedings of the SPIE, Vol. 5601, 2004, pp 133-144.
[17] Sakr, N.; Jiying Zhao; Groza, V.; "Adaptive image watermarking based on a dynamic fuzzy inference system," Electrical and Computer Engineering, 2005. Canadian Conference on 1-4 May 2005, pp.976-979.
[18] S.S.Sujatha and M.Mohamed Sathik "A Novel DWT Based Blind Watermarking for Image Authentication".International Journal of Network Security,,Vol. 14, No. 4,. P223-228. July 2012.
[19] T. Ojala, M. Pietikäinen, and T. Mäenpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns", IEEE Trans. PAMI, vol. 24, 2002, pp. 971- 987.
[20] R.M. Haralik, K. Shanmugam, and I. Dinstein, "Texture features for image classification", IEEE Trans. SMC, vol. 3,, 1973,pp. 610-621.
[21] Pietikäinen, M. "Image Analysis with Local Binary Patterns", 2005, pp 115-118.
[22] Lin Q.,Liu Z.,Feng G.,"DWT based on watermarking algorithm and its implementing with DSP, IEE Xplore, 2008, pp229-232.
[23] Weeks, M., "Precision for 2-D discrete wavelet transforms processors". 2000 IEEE Workshop on Signal Processing Systems. SiPS 2000. Design and Implementation (Cat. No.00TH8528), pp 80-89.
[24] Sujatha, S.S.; Sathik, M.M.; "Feature based blind approach for robust watermarking," Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference , on 7-9 Oct. 2010, pp.608-611.
[25] Kinage,K.S and Bhirud,S.G;"Face Recognition based one Two- Dimensional PCA on Wavelet Subban", International Journal of Recent Trends in Engineering, Vol 2, No. 2, November 2009.