Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model
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.
[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 www.jgrcs.info 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.
[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 www.jgrcs.info 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.
@article{"International Journal of Information, Control and Computer Sciences:62336", author = "Sherin M. Youssef and Ahmed Abouelfarag and Noha M. Ghatwary", title = "Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model", abstract = "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).", volume = "6", number = "12", pages = "1719-9", }
