Zero watermarking technique using LWT

Kahdim, Saja Abdulameer; Abduldaim, Areej M.

doi:10.22075/ijnaa.2023.7294

اداره چاپ و انتشارات دانشگاه سمنان

تعداد نشریات	21
تعداد شماره‌ها	610
تعداد مقالات	9,029
تعداد مشاهده مقاله	67,082,939
تعداد دریافت فایل اصل مقاله	7,656,398

	Zero watermarking technique using LWT
International Journal of Nonlinear Analysis and Applications
مقاله 188، دوره 14، شماره 1، فروردین 2023، صفحه 2399-2407 اصل مقاله (967.75 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.7294
نویسندگان
Saja Abdulameer Kahdim؛ Areej M. Abduldaim^*
Mathematics and Computer Applications, Applied Sciences Department, University of Technology, Baghdad 10001, Iraq
تاریخ دریافت: 11 شهریور 1401، تاریخ بازنگری: 23 آذر 1402، تاریخ پذیرش: 11 دی 1401
چکیده
It is no secret to anyone the essential steps of mathematics in image processing and especially in image watermarking techniques. Transformations are one of the most important mathematical tools used in image processing. It is possible to reduce the size of the image very efficiently and extract important information from it. On the other hand, transformations enable us to move smoothly from the world of image processing (spacial domain) to the world of mathematics and matrices (frequency domain). In this paper, to build a zero-watermarking algorithm, the integer wavelet transform (IWT), is used alone to show the mathematical effect of the results obtained from the proposed zero-watermarking algorithms. One level of IWT is applied to the concealment image and the watermark is XORed with the features chosen from the crucial information obtained from the LL channel to generate the secret share. The results were very satisfactory and the proposed algorithm proved its resistance to different attacks through the robustness metric NC.
کلیدواژه‌ها
image processing؛ robustness metric NC؛ watermarking؛ wavelet transform

مراجع
[1] A.M. Abduldaim, A.A. Abdulrahman and F.S. Tahir, The effectiveness of discrete Hermite wavelet filters technique in digital image watermarking, Indones. J. Electric. Engin. Comput. Sci. 25 (2022), no. 3, 1392–1399. [2] A.M. Abduldaim and A.K. Faraj, Combining algebraic GSVD and gravitational search algorithm for optimizing secret image watermark sharing technique, Int. J. Math. Comput. Sci. 17 (2022), no. 2, 753–774. [3] A.K. Abdulrahman and S. Ozturk, A novel hybrid DCT and DWT based robust watermarking algorithm for color images, Multimed. Tools Appl. 78 (2018), 17027–17049. [4] H.B. Abdul Wahab, A.J. Abdul-Hossen and S.A. Kadhom, Encrypted image watermark in audio files using homogenous Deffie-Hellman with Chebyshev polynomial, Eng. Tech. J. 34 (2016). [5] W. H. Alshoura, Z. Zainol and J. M.Alawida, An FPP-resistant SVD based image watermarking scheme based on chaotic control, Alexandria Engin. J. 61 (2022). [6] A. Alzahrani, Enhanced invisibility and robustness of digital image watermarking based on DWT-SVD, Appl. Bionics Biomech. 2022 (2022). [7] M. Hamidi, M. El Haziti, H. Cherifi and M. El Hassouni, Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform. Multimed, Tools Appl. 77 (2018), 27181–27241. [8] T. Huang, Jia Xu, Y.Yang and B.Han, Robust zero-watermarking algorithm for medical images using double-tree complex wavelet transform and Hessenberg decomposition, Math. 10 (2022), 1154. [9] L.F. Jalil and M.M. Laftah, Text Hiding in 3D Object, Eng. Tech. J. 34 (2016). [10] X. Leng, J.Xiao and Y. Wang, A robust image zero-watermarking algorithm based on DWT and PCA, Commun. Comput. Inf. Sci., 2012, pp. 484–492. [11] N.S. Mohammed and A.M. Abduldaim, Algebraic decomposition method utilized in optimized zero watermarking technique, 1st Babylon Int. Conf. Inf. Technol. Sci., 2021. [12] 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 (2021), no. 4, 1497–1514. [13] H. Nazir, I.S. Bajwa, M. Samiullah, W. Anwar and M.Moosa, Robust secure color image watermarking using 4D hyperchaotic system, DWT, HbD, and SVD based on improved FOA algorithm, Secur. Commun. Networks 2021 (2021), [14] P. Pan, Z. Wu, C. Yang and B.Zhao, Double-matrix decomposition image steganography scheme based on wavelet transform with multiregion coverage, Entropy 24 (2022), no. 246, 1–21. [15] 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. Technol. Appl., IICETA-IEEE, 2020, pp. 1217. [16] B.W. Wang and P. Zhao, An adaptive image watermarking method combining SVD and Wang-Landau sampling in DWT domain, Math. 8 (2020), no. 8, 691. [17] D Wu, M Wang, J Zhao, J Wang, M Zhong, H. Zheng, S. Hu, Y. Tang and C. Qu, Color zero-watermarking algorithm for medical imagesBased on BEMD-Schur decomposition and color visual cryptography, Secur. Commun. Networks 2021 (2021). [18] T. Zhu, W. Qu and W. Cao, An optimized image watermarking algorithm based on SVD and IWT, J. Supercomput. 78 (2022), 222–237 . [19] Q. Zhang, Y. Li and X. Wei, An improved robust and adaptive watermarking algorithm based on DC T. J. Appl. Res. Technol. 10 (2012), 405–415.
آمار تعداد مشاهده مقاله: 17,260 تعداد دریافت فایل اصل مقاله: 285

سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب

پیوندهای مفید

پیوندهای مفید

آمار

Zero watermarking technique using LWT