International Journal of Nonlinear Analysis and Applications

A new image watermarking algorithm by using contourlet transform accompanied by PSO algorithm

Document Type : Research Paper

Authors

1 Department of Electrical Engineering, Nour Branch, Islamic Azad University, Nour, Iran

2 Department of Mathematics, Iran University of Science and Technology, Tehran 1684613114, Iran

3 Department of Mathematical Sciences, University of South Africa, UNISA0003, South Africa

Abstract

One of the ways to enhance the security and concealment of data used today is image watermarking. In image watermarking operation, we try to hide image inside another image without letting others know about the hidden image. In this paper, Contourlet Transform and SVD Transform are used to embedded watermark in the host image. The PSO Optimization Algorithm is also used in the watermark extraction step to find the best scale factor. The results of the proposed algorithm in this article show an improvement over the comparative methods.

Keywords

[1] S. A. Kasmani and A. R. Naghsh-Nilchi, ”Robust digital image watermarking based on joint DWT-DCT,” 2009.
[2] H. A. Abdallah, M. M. Hadhoud, A. A. Shaalan, and F. E. A. El-samie, ”Blind wavelet-based image watermarking,” International Journal of Signal Processing, Image Processing and Pattern Recognition. 4,1, 2011.
[3] A. M. Abdelhakim, H. I. Saleh, and A. M. Nassar, ”A quality guaranteed robust image watermarking optimization
with Artificial Bee Colony,” Expert Systems with Applications, vol. 72, pp. 317-326, 2017.
[4] C. Das, S. Panigrahi, V. K. Sharma, and K. Mahapatra, ”A novel blind robust image watermarking in DCT
domain using inter-block coefficient correlation,” AEU-International Journal of Electronics and Communications,
vol. 68, no. 3, pp. 244-253, 2014.
[5] X. Wu and W. Sun, ”Robust copyright protection scheme for digital images using overlapping DCT and SVD,”
Applied Soft Computing, vol. 13, no. 2, pp. 1170-1182, 2013.
[6] M. Ali, C. W. Ahn, and P. Siarry, ”Differential evolution algorithm for the selection of optimal scaling factors in
image watermarking,” Engineering Applications of Artificial Intelligence, 31, 15-26, 2014.
[7] M. Ali and C. W. Ahn, ”An optimized watermarking technique based on self-adaptive DE in DWT–SVD transform
domain,” Signal Processing, 94, 545-556, 2014.
[8] A. Mishra, C. Agarwal, A. Sharma, and P. Bedi, ”Optimized gray-scale image watermarking using DWT–SVD
and Firefly Algorithm,” Expert Systems with Applications, 41, 17, 7858-7867, 2014.
[9] N. M. Makbol, B. E. Khoo, and T. H. Rassem, ”Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics,” IET Image Processing, 10, 1,
34-52, 2016.
[10] M. N. Do and M. Vetterli, ”The contourlet transform: an efficient directional multiresolution image representation,” IEEE Transactions on image processing, 14, 12, 2091-2106, 2005.
[11] A. Vyas, S. Yu, and J. Paik, Multiscale Transforms with Application to Image Processing. Springer, 2018.
[12] B.-B. Huang and S.-X. Tang, ”A contrast-sensitive visible watermarking scheme,” IEEE MultiMedia, 13, 2, 60-66,
2006.
[13] P. Vaidya and C. M. PVSSR, ”A robust semi-blind watermarking for color images based on multiple decompositions,” Multimedia Tools and Applications, 76, 24, 25623-25656, 2017.
[14] J. Kennedy and R. Eberhart, ”Particle swarm optimization,” in Proceedings of ICNN’95 - International Conference on Neural Networks, 4, 4, 1942-1948, 1995 .
[15] S. M. Mousavi, A. Naghsh, and S. Abu-Bakar, ”Watermarking techniques used in medical images: a survey,”
Journal of digital imaging, 27, 6, 714-729, 2014.
[16] S. M. Arora, ”A DWT-SVD based robust digital watermarking for digital images,” Procedia computer science,
132, 1441-1448, 2018.
International Journal of Nonlinear Analysis and Applications
Volume 12, Special Issue
December 2021
Pages 563-570
  • Receive Date: 12 January 2021
  • Revise Date: 20 May 2021
  • Accept Date: 14 June 2021