QRD-Mamdani FIS for Digital Image Watermarking

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-7
Year of Publication : 2019
Authors :  Areej M. Abduldaim, Raghad I. Sabri
DOI :  10.14445/22312803/IJCTT-V67I7P114


MLA Style: Areej M. Abduldaim, Raghad I. Sabri"QRD-Mamdani FIS for Digital Image Watermarking" International Journal of Computer Trends and Technology 67.7 (2019): 86-91.

APA Style Areej M. Abduldaim, Raghad I. Sabri. QRD-Mamdani FIS for Digital Image Watermarking International Journal of Computer Trends and Technology, 67(7),86-91.

The use of linear algebra and fuzzy theory significantly increases in image processing. In particular, digital image watermarking accounted for the bulk of the use of these two categories of mathematics. For this reason, in this paper, the QR decomposition method and the Fuzzy Inference System (Mamdani type) is applied to the host image in order to determine the appropriate position to insert the bits of the watermark into the cover image according to the parameter obtained from the Fuzzy Inference System. This parameter controls the rate of the visibility of the watermarked image compared with the host image. After that, some attacks are shed for testing the robustness and the imperceptibility of the proposed technique.

[1] E.H. Mamdani and S. Assilian,"An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller,"International Journal ofMan-Machine Studies, vol.7,pp. 1–13, 1975.
[2] J.Guruand H.Damecha,” Digital Watermarking Classification : A Survey,"International Journal of Computer Science Trends and Technology (IJCST), Vol.2, No.5, 2014.
[3] M. Imran, B and A. Harvey, "A Blind Adaptive Color ImageWatermarking Scheme Based on Principal Component Analysis, Singular Value Decomposition and Human Visual System,"Radioengineering, vol. 26, pp. 823-834, 2017.
[4] M. Imran, A. Ghafoor and M. M. Riaz, "Adaptive watermarking technique based on human visual system and fuzzy inference system," IEEE International Symposium on Circuits and Systems (ISCAS2013), pp. 2816-2819,2013.
[5] R . K.ArunandT.V. N. Rao, "Digital Image Watermarking using Fuzzy Logic and Genetic Algorithm,"International Journal of Computer Trends and Technology (IJCTT) – Vol. 41,pp. 101-105, 2016.
[6] S. Lalani and D. D. Doye, "Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System," J Inf Process Syst, Vol.13, No.2, pp. 340~347, April 2017.
[7] Anita and A. Parmar, "Image security using watermarking based on DWT-SVD and Fuzzy Logic," 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), pp. 1-6. Noida, 2015.
[8] H. Mokhtar and B. Manjula, "A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking," International Journal of Computer Trends and Technology ( IJCTT ), Vol. 61, No. 2,pp. 117-121, 2018.
[9] S.K. Jayanthi and K. Sridevi, “Region of Non Interest based Medical Image Authentication in Wavelet Domain Using Fuzzy Inference System," International Journal of Pure and Applied Mathematics, Vol. 114 No. 11,pp. 199-209, 2017.
[10] J. Fan and Y. Wu, "Watermarking Algorithm Based on Kernel Fuzzy Clustering and Singular Value Decomposition in the Complex Wavelet Transform Domain," International Conference of Information Technology, ComputerEngineering and Management Sciences, pp. 42-46.Nanjing,Jiangsu, 2011.
[11] B .D. Moor andP .V Dooren, “Generalizations of the singular value and QR decompositions,” SIAM JMatrix Anal Appl,vol. 13, pp. 993–1014, 1992.
[12] N.Ahmed, T.Natarajan.andK. R. Rao, (January 1974), "Discrete Cosine Transform," IEEE Transactions on Computers, vol.23 ,pp.90–93.
[13] K.Rao and P.Yip,"Discrete Cosine Transform: Algorithms, Advantages, Applications," Boston: Academic Press,1990.
[14] T. Takagi and M, Sugeno, “ Fuzzy Identification of System and Its Applications to modeling and Control," IEEE Transaction on Systems, Man and Cybernetics, vol.15, pp.116-132, 1985.
[15] L.A. Zadeh, “Fuzzy Logic and Soft Computing: Issues, Contentions and Perspectives,” In: Proc. of IIZUKA’94: Third Int.Conf. on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, pp. 1-2, 1994.

Fuzzy Inference System; QR decomposition; watermarked image; the Peak Signal to Noise Ratio(PSNR); normalized correlation(NC).