Fuzzy Inference System Based Robust Digital Image Watermarking in DWT-DCT Domain Using Human Visual System
(*) Corresponding author
In this paper a new technique to insert watermark in the cover image in hybrid transform domain using Fuzzy Inference System and Human Visual System (HVS) parameters is proposed. This scheme provides secure image watermarking using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). The cover image is divided into sub bands using DWT and then DCT is applied to the selected subband. The calculated HVS parameters (Luminance and Texture Sensitivities) are given as inputs to the Fuzzy Inference System. The attained weight factor is exploited to modify the mid DCT coefficients based on the watermark bit. Metrics Peak Signal to Noise Ratio (PSNR) and Normalized Cross Correlation (NCC) are used. The proposed watermarking technique is robust and imperceptible to image processing attacks like sharpening, JPEG Compression, rotation, median filtering, and random pixel replacement etc.
Copyright © 2016 Praise Worthy Prize - All rights reserved.
Cox IJ, Miller ML, and Bloom JA., Digital Watermarking (Morgan Kaufmann Publisher, 2002).
CI Podilchuk, and EJ Delp, Digital Watermarking: Algorithms and Applications, (2001) IEEE Signal Processing Magazine, pp.33-46.
I Cox, J Killian, T Leighton, and T Shamoon, Secure spread spectrum watermarking for multimedia, (1997) IEEE Trans. on Image Process, 6 (12), pp.1673–1687.
N Nikolaidis, and I Pitas, Robust image watermarking in the spatial domain, (1998), Signal Process. 66 (3), pp.385–403.
W.C.Chu, DCT based image watermarking using sub sampling. (2003), IEEE Trans Multimedia 5, pp.34-38.
Suhail, M., A., Obaidat, M.S., Digital Watermarking Based on DCT and JPEG Model, (2003), IEEE Transactions on Instrumentation and Measurement, Vol.52, No.5.
Zhao Dawei, Chen Guanrong, Liu Wenbo, A chaos-based robust wavelet-domain watermarking algorithm, (2004), Chaos. Solutions and Fractals 22, pp.47–54.
R.Liu, T.Tan, An SVD-based watermarking scheme for protecting rightful ownership, (2002), IEEE Trans. Multimedia, Vol.4, No.1, pp.121-128.
Frank Y Shih, Scott YT Wu, Combinational image watermarking in the spatial and frequency domains, (2003), Pattern Recognition, 36, pp.969-975.
Muhammad Imran; Ghafoor, A.; and Riaz, M.M. Adaptive watermarking technique based on Human Visual System and Fuzzy Inference System, (2013), Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, pp.2816-2819.
T.Sridevi, and S Sameena Fatima, Digital Image Watermarking using Fuzzy Logic approach based on DWT and SVD, (2013), International Journal of Computer Applications, Volume 74, No.13, pp.16-20.
Duc M. Duong, and Duc A. Duong, A Hybrid Watermarking Scheme using Contourlet Transform and Fuzzy Logic, (2012), Proceedings of the IEEE 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012), Sichuan, pp.386-390.
Sherin M. Youssef, Ahmed Abouelfarag, and Noha M. Ghatwary, Adaptive Digital Watermarking Integrating Fuzzy Inference HVS Perceptual Model, (2012), World Academy of Science, Engineering and Technology, Vol.6, pp.312-320.
Charu Agarwal, Anurag Mishra, and Arpita Sharma, Digital Image Watermarking in DCT Domain Using Fuzzy Inference System, (2011), Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering (CCECE), Niagara Falls, ON, pp.822-825.
Reza Mortezaei, and Mohsen Ebrahimi Moghaddam, A New Lossless Watermarking Scheme Based on fuzzy integral and DCT domain, (2010), Proceedings of the International Conference on Electronics and Information Engineering, Vol.1, Kyoto, pp.527-531.
Mukesh C. Motwani, Rakhi C. Motwani, and Frederick C. Harris, Wavelet Based Fuzzy Perceptual Mask for Images, (2009), Proceedings of the International Conference on Image Processing (ICIP), Cairo, pp.4261-4264.
Y. Wang, J.F.Doherty and R.E.Van Dyck, “A wavelet based watermarking algorithm for ownership verification of digital images”, IEEE Transactions on Image Processing, Volume 11, No.2, pp.77-88, February 2002.
W.C.Chu, “DCT based image watermarking using sub sampling,” IEEE Trans Multimedia 5, 34-38, 2003.
Najafi H., “A neural network approach to digital data hiding based on the perceptual masking model of the human vision system”, International Journal of Intelligent Computing and Cybernetics, 3, 2010, pp.391-409.
Muhammad Imran; Ghafoor, A. ; and Riaz, M.M., “Adaptive watermarking technique based on Human Visual System and Fuzzy Inference System”, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, May, 2013, pp.2816-2819.
Subrahmanyam, C., Venkata Rao, D., Usha Rani, N., Implementation of No Reference Distortion Patch Features Image Quality Assessment Algorithm Based on Human Visual System, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (5), pp. 195-201.
Hasan Abbas, N., Syed Ahmad, S., Wan Adnan, W., Bin Ramli, A., Parveen, S., DWT and Lifting Wavelet Transform Based Robust Watermarking for Color Image, (2015) International Review on Computers and Software (IRECOS), 10 (11), pp. 1127-1133.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize