Improved Sugeno FIS-2Level DWT Digital Image Watermarking Technique

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-7
Year of Publication : 2019
Authors :  Raghad I. Sabri, Areej M. Abduldaim
  10.14445/22312803/IJCTT-V67I7P117

MLA

MLA Style: Raghad I. Sabri, Areej M. Abduldaim"Improved Sugeno FIS-2Level DWT Digital Image Watermarking Technique" International Journal of Computer Trends and Technology 67.7 (2019): 102-106.

APA Style Raghad I. Sabri, Areej M. Abduldaim. Improved Sugeno FIS-2Level DWT Digital Image Watermarking Technique International Journal of Computer Trends and Technology, 67(7),102-106.

Abstract
In this paper, Sugeno Fuzzy inference system (FIS) has adopted depending on 2level DWT in order to ensure finding the best locations to embed the watermark data in the host image in the frequency domain of DWT and hence to increase the robustness of the proposed technique. First of all, apply DWT on the host image twice, then decompose the LH2 band into 2x2 blocks to assure the superior hiding of the bits of the watermark in a chosen places. On the other hand, FIS is performed to obtain a parameter that controls the embedding robustness. The algorithm leads to achieving robustness and imperceptibility criterion. The results for PSNR and NC with and without attacks are better for the proposed algorithm. Experimental results show the efficiency of the proposed technique. The experimental results show that the proposed technique has perfect robustness against image processing attacks.

Reference
[1] E.H. Mamdani and S. Assilian,"An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller," International Journal of Man-Machine Studies, vol.7,pp. 1–13, 1975.
[2] J.Guru and H. Damecha,” Digital Watermarking Classification:ASurvey,"International Journal of Computer Science Trends and Technology (IJCST), Vol.2,No.5,2014.
3] X. Zhou ID, H. Zhang ID and C. Wang, "A Robust Image Watermarking Technique Based on DWT, APDCBT, and SVD," Symmetry, Vol.10,No.77, 1-14,2018.
[4] S. Aydin, M. Memis and E. Elbasi, "Digital image watermarking method in multi level DWT," 2008 IEEE 16th Signal Processing, Communication and Applications Conference, Aydin, pp.1-4, 2008.
[5] P. Sharma and S. Swami, "Digital Image Watermarking Using 3 level Discrete Wavelet Transform," Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013), 2013.
[6] C.-C. Lai and C.-C. Tsai, “Digital image watermarking using discrete wavelet transform and singular value decomposition,” Instrum. Meas. IEEE Trans., vol. 59, no. 11, pp. 3060–3063, 2010.
[7] D. Chopra, P. Gupta, G. Sanjay B.C., A. Gupta, “LSB Based Digital Image Watermarking For Gray Scale Image,” IOSR Journal of Computer Engineering (IOSRJCE).
[8] N.Ahmed,T.Natarajan and K. R. Rao, "Discrete Cosine Transform", IEEE Transactions on Computers, C-23 (1):90–93,1974.
[9] K.Rao andP.Yip," Discrete Cosine Transform: Algorithms, Advantages, Applications," Boston: Academic Press, 1990.
[10] T. Takagi, M, Sugeno, “ Fuzzy Identification of System and Its Applications to Modeling and Control”, IEEE Transaction on Systems, Man and Cybernetics, 15, 116-132, 1985.
[11] M. Ekta and S.Ankita, “Survey on Various Wavelets Based and FuzzyBased Methods for Satellite Image Enhancement,” International Journal of Computer Trends and Technology (IJCTT),Vol.57,No.2, pp. 102-111, 2018. L.A. Zadeh, “Fuzzy Logic and Soft Computing: Issues, Contentions and Perspectives,” Proc. of IIZUKA’94: Third Int.Conf. on Fuzzy Logic, Neural Nets and Soft Computing, Iizuka, Japan, pp. 1-2, 1994.

Keywords
Sugeno fuzzy Inference System; Discrete Wavelet Transform; watermarked image; the Peak Signal to Noise Ratio(PSNR); normalized correlation(NC).