International Journal of Nonlinear Analysis and Applications

Twofold of algebraic decomposition method used for a watermarking scheme with $LWT$ over medical images

Document Type : Research Paper

Authors

1 University of Technology, Department of Applied Sciences, Baghdad 10001, Iraq

2 applied science department, university of technology, Baghdad, Iraq

Abstract

Mathematics has always been of great importance in various sciences, especially computer science. The mechanism used to embed various types of information in a host medical images to safeguard the privacy of the patient including the patient's name, doctor's digital signature is called watermarking. There are a lot of improved watermark algorithms, however, this information is susceptible to attack when the data are transferred over universal internet channels. This paper proposed a robust watermark algorithm that uses a Lifting Wavelet Transform $(LWT)$ and two times of the Hessenberg Matrix Decomposition Method $(HMDM)$ to embed a watermark in a chosen channel of the host image after performing the transform. The experimental results demonstrate that the improvement appears (higher robustness against $JPEG$ compression attack) and good imperceptibility against some attacks, to evaluate the fineness of the original with watermarked images and the extracted watermark respectively.

Keywords

[1] T.C.C.N. Swamy, Combinational Watermarking for Medical Images, University of South Florida, USA, Thesis, 2015.
[2] Q. Su, G. Wang, G. Lv, X. Zhang, G. Deng and B. Chen, A novel blind color image watermarking based on contourlet transform and Hessenberg decomposition, Multimed Tools Appl. 76 (2017) 8781–8801.
[3] M.H. Khudhur, J. Waleed, H. Hatem, A.M. Abduldaim and D.A. Abdullah, An efficient and fast digital image copy-move forensic technique, 2nd Int. Conf. Engin. Tech. Sci. Al-Kitab, IEEE (2018) 78–82.
[4] A. Joseph and K. Anusudha, Robust watermarking based on DWT SVD, Int. J. Signal Image Proces. 1(1) (2013)1–5.
[5] S. Thakur, A.K. Singh, S.P. Ghrera and A. Mohan, Chaotic based secure watermarking approach for medical images, Multimed Tools Appl. 79 (2020) 4263–4276.
[6] R.I. Sabri, A.M. Abduldaim and J. Waleed, Mamdani FIS combined with LU decomposition method and two-level LWT for image watermarking technique, 3rd Int. Conf. Engin. Tech. Appl. IEEE (2020) 12–17.
[7] F. Nejati, H. Sajedi and A. Zohourian, Fragile watermarking based on QR decomposition and Fourier transform, Wireless Pers Commun. (2021).
[8] P.K. Dhar, P. Hazra and T. Shimamura, Blind color image watermarking using fan Beam transform and QR decomposition, Symmetry 12(486) (2020) 1–14.
[9] N.S. Mohammed and A.M. Abduldaim, Algebraic Hessenberg decomposition method optimized by genetic algorithm for zero watermarking technique, Int. J. Math. Comput. Sci. 16(4) (2021) 1497–1514.
[10] Y. Chen, Z.G. Jia, Y. Peng, Y.X. Peng and D. Zhang, A new structure-preserving quaternion QR decomposition method for color image blind watermarking, Signal Proces. 185 (2021) 108088.
[11] H.U. Seo, Q. Wei, S.G. Kwon and KI. Sohng, Medical image watermarking using bit threshold map based on just noticeable distortion in discrete cosine transform, Tech. Health Care 20(25) (2017) 367–375.
[12] R. Thanki, S. Borra, V. Dwivedi and K. Borisagar, An efficient medical image watermarking scheme based on FDCuT-DCT, Engin. Sci. Tech. Int. J. 20(4) (2017) 1366–1379.
International Journal of Nonlinear Analysis and Applications
Volume 13, Issue 1
March 2022
Pages 1123-1129
  • Receive Date: 07 September 2021
  • Revise Date: 11 October 2021
  • Accept Date: 25 October 2021