A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform

Almula Sahin; Inan Guler

A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform

Abstract

In this study, a literature review was presented to examine digital image watermarking techniques based on Discrete Cosine Transform DCT . General features of the digital watermarking method, frequency domain & spatial domain techniques, and some important issues about DCT were also presented. The studies were classified according to the application methods of the DCT, the features of the watermarking technique, the watermark extraction method, robustness, and usage area. Finally, the results have shown thatDCT has increased the robustness of watermarking by providing ease of use in many methods from simple to complex, machine learning and optimization techniques would be frequently used methods for improving the studies.

Keywords

Digital watermarking, Discrete Cosine Transform, Watermark, Frequency Domain, Image Watermarking

References

K. Singh, “Improved hybrid algorithm for robust and imperceptible multiple watermarking using digital images”, Multimedia Tools and Applications, vol. 76, no. 6, pp. 8881–8900, 2016.
M. Begum and M. S. Uddin, “Digital Image Watermarking Techniques: A Review”, Information, vol. 11, no. 2, p. 110, 2020.
A. Saboori and S. A. Hosseini, “A new method for digital watermarking based on combination of DCT and PCA”, 22nd Telecommunications Forum Telfor (TELFOR), 2014.
J. Seitz and T. Jahnke, “Digital Watermarking”, Digital Watermarking for Digital Media, pp. 1–29, 2005.
M. Arnold, M. Schmucker, and S. D. Wolthusen, “Techniques and applications of digital watermarking and content protection”, Boston: Artech House, 2003.
C. T. Yen and Y. J. Huang, “Frequency domain digital watermark recognition using image code sequences with a back-propagation neural network”, Multimedia Tools and Applications, vol. 75, no. 16, pp. 9745–9755, 2015.
H. U. Seo, Q. Wei, S. G. Kwon, and K. I. Sohng, “Medical Image Watermarking using bit threshold map based on just noticeable distortion in discrete cosine transform”, Technology and Health Care, vol. 25, pp. 367–375, 2017.
M. Irany, “A high-capacity reversible multiple watermarking scheme-applications to images, medical data, and Biometrics”, M.S. thesis, University of Toronto Graduate Department of Electrical and Computer Engineering, Toronto, 2011. Accessed on: Sept. https://tspace.library.utoronto.ca/bitstream/1807/29530/ 6/MehrbanyIrany_Behrang_201106_MASc_thesis.pdf

A. T. Abdel-Hamid and S. Tahar, “Fragile IP watermarking Conference on Adaptive Hardware and Systems, 2008, pp. 513-519, doi: 10.1109/AHS.2008.73 NASA/ESA
S. M. Mousavi, A. Naghsh, and S. A. Abu-Bakar, “Watermarking techniques used in medical images: A survey”, Journal of Digital Imaging, vol. 27, no. 6, pp. 714–729, 2014.
N. Tarhouni, M. Charfeddine, and C. Ben Amar, “Novel and Robust Image Watermarking for copyright protection and Integrity Control”, Circuits, Systems, and Signal Processing, vol. 39, no. 10, pp. 5059–5103, 2020.
Y. M. Li, D. Wei, and L. Zhang, “Double-encrypted watermarking algorithm based on cosine transform and fractional Fourier transform in invariant wavelet domain”, Information Sciences, vol. 551, pp. 205–227, 2021.
M. A. Nematollahi, C. Vorakulpipat, and H. G. Rosales, “Digital Watermarking - techniques and trends: Mohammad Ali Nematollahi”, Springer, 2018. [Online]. https://www.springer.com/gp/book/9789811020940. [Accessed: 04-Sep-2021]. Available:
L. Verma and S. Pratap Singh Chauhan, “A review on Digital Image Watermarking using transformation and optimization techniques”, 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), 2020.
K. Chaitanya, D. E. S. Reddy, and D. K. G. Rao, “Digital color image watermarking in RGB planes using DWT-DCT-SVD coefficients”, International Journal of Computer Science and Information Technologies, vol. 5, no. 2, 2013.
T. Veldhuizen, Measures of image quality, 1993. [Online]. https://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_ COPIES/VELDHUIZEN/node18.html. [Accessed: 04- Sep-2021]. Available:
J. Cox, M. L. Miller, and J. A. Bloom, “Watermark security”, Digital Watermarking, pp. 279–317, 2002.
K. Mahmoud, S. Datta, and J. Flint, “Frequency Domain International Arab Journal of Information Technology, vol. 2, 2005. An Overview,” The
I. Ito, “A new pseudo-spectral method using the discrete cosine transform”, Journal of Imaging, vol. 6, no. 4, p. 15, 2020. Accessed on: Sept. 5. 2021. [Online]. Available doi: 10.3390/jimaging6040015
M. Gupta and A. K. Garg, “ Analysis Of Image Compression Algorithm Using DCT,” International Journal of Engineering Research and Applications, vol. 2, no. 1, 2012.
B. Kaur, A. Kaur, and J. Singh, “Steganographic Approach For Hiding Image In Dct Domain,” International Journal of Advances in Engineering & Technology, vol. 1, no. 3, pp. 72–78, 2011.
S. Roy and A. K. Pal, “An indirect watermark hiding in discrete cosine transform–singular value decomposition domain for copyright protection”, Royal Society Open Science, vol. 4, no. 6, p. 170326, 2017.
V. P. Vishwakarma and V. Sisaudia, “Gray-scale image watermarking based on DE-KELM in DCT domain”, Procedia Computer Science, vol. 132, pp. 1012–1020, 2018.
X. Huo, “Sparse image representation via combined transforms”, Ph.D dissertation, Stanford University Department of Statistics, California, 1999. Accessed on: Sept. https://statistics.stanford.edu/sites/g/files/sbiybj6031/f/1 999-18.pdf [Online]. Available:
A. Fita and B. Endebu, “Watermarking Colored Digital Image Using Singular Value Decomposition for Data Protection,” Journal of Mathematical and Statiscal Analysis, vol. 1, no. 2, 2019.
J. S. Coron, Y. Dodis, C. Malinaud, and P. Puniya, “Merkle-Damgård Revisited: How to construct a hash function,” Advances in Cryptology – CRYPTO 2005, pp. 430–448, 2005.
S. Al-Shehhi, M. Al-Muhairi, D. Abuoeida, H. Al- Ahmed, N. Werghi, and A. Kunhu, “Robust and fragile watermarking scheme based on DCT and hash function for color satellite images”, 6th IEEE International Conference on Developments in eSystems Engineering, 2013.
W. Cai-Yin, K. Xiang-Wei, and L. Chao, “Process color watermarking: The use of visual masking and dot gain correction”, Multimedia Tools and Applications, vol. 76, no. 15, pp. 16291–16314, 2016.
K. Jabbar and M. B. Tuieb, “Compare between DCT and DWT for digital watermarking in color image”, Information and Knowledge Management, 2015. [Online]. https://www.iiste.org/Journals/index.php/IKM/article/vi ew/23907. [Accessed: 04-Sep-2021]. Available:
X. G. Xia, C. Boncelet, and G. Arce, “Wavelet transform based watermark for digital images”, Optics Express, vol. 3, no. 12, p. 497, 1998.
N. Hazim, K. L. Hammed, and Z. Saeb, “Image watermarking with hybrid approach using discrete wavelet transform(dwt)–discrete cosine transforms (DCT)”, International Journal of Advance Engineering and Research Development, vol. 3, no. 02, 2015.
Xiaomin and Z. Fengyuan, “Double-color digital image watermarking technology based on double transform domain”, IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2020.
Zhang, Lina, and D. Wei, “Dual dct-dwt-svd digital watermarking algorithm based on particle swarm optimization”, Multimedia Tools and Applications, vol. 78, no. 19, pp. 28003–28023, 2019.
S. J. Horng, D. Rosiyadi, P. Fan, X. Wang, and M. K. Khan, “An adaptive watermarking scheme for e- government document images”, Multimedia Tools and Applications, vol. 72, no. 3, pp. 3085–3103, 2013.
Benoraira, K. Benmahammed, and N. Boucenna, “Blind image watermarking technique based on differential embedding in DWT and DCT domains”, EURASIP Journal on Advances in Signal Processing, vol. 2015, no. 1, 2015.
S. S. Jamal, T. Shah, S. Farwa, and M. U. Khan, “A new technique of frequency domain watermarking based on a local ring”, Wireless Networks, vol. 25, no. 4, pp. 1491–1503, 2017.

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Almula Sahin This is me

Inan Guler This is me

Publication Date

September 1, 2021

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2021 Volume: 10 Number: 3

IZ

https://izlik.org/JA83AE82HR

Cite

RIS / Bibtex

APA

Sahin, A., & Guler, I. (2021). A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform. International Journal of Information Security Science, 10(3), 99-110. https://izlik.org/JA83AE82HR

AMA

1.Sahin A, Guler I. A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform. IJISS. 2021;10(3):99-110. https://izlik.org/JA83AE82HR

Chicago

Sahin, Almula, and Inan Guler. 2021. “A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform”. International Journal of Information Security Science 10 (3): 99-110. https://izlik.org/JA83AE82HR.

EndNote

Sahin A, Guler I (September 1, 2021) A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform. International Journal of Information Security Science 10 3 99–110.

IEEE

[1]A. Sahin and I. Guler, “A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform”, IJISS, vol. 10, no. 3, pp. 99–110, Sept. 2021, [Online]. Available: https://izlik.org/JA83AE82HR

ISNAD

Sahin, Almula - Guler, Inan. “A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform”. International Journal of Information Security Science 10/3 (September 1, 2021): 99-110. https://izlik.org/JA83AE82HR.

JAMA

1.Sahin A, Guler I. A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform. IJISS. 2021;10:99–110.

MLA

Sahin, Almula, and Inan Guler. “A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform”. International Journal of Information Security Science, vol. 10, no. 3, Sept. 2021, pp. 99-110, https://izlik.org/JA83AE82HR.

Vancouver

1.Almula Sahin, Inan Guler. A Survey of Digital Image Watermarking Techniques Based on Discrete Cosine Transform. IJISS [Internet]. 2021 Sep. 1;10(3):99-110. Available from: https://izlik.org/JA83AE82HR