COPYRIGHT PROTECTION SYSTEM BASED WATERMARKING

IMAD MAJED  ZEEBAREE; HIWA ALI  ABDULLAH; FARHAD M.  KHALIFA; OMER SEDQI  KAREEM

doi:10.26682/sjuod.2023.26.2.1

IMAD MAJED ZEEBAREE Dept. of Information Security, Technical College of Informatics-Akre University for Applied Sciences, Kurdistan Region-Iraq
HIWA ALI ABDULLAH Dept. of Information Security, Technical College of Informatics-Akre University for Applied Sciences, Kurdistan Region-Iraq
FARHAD M. KHALIFA Dept. of Computer Networks, Bardarash Technical Institute, Akre University for Applied Sciences, Kurdistan Region-Iraq
OMER SEDQI KAREEM Dept. of Public Health, College of Health and Medical Techniques-Shekhan, Duhok Polytechnic University, Kurdistan Region-Iraq

DOI: https://doi.org/10.26682/sjuod.2023.26.2.1

Keywords: watermark, DWT, SVD, Copyright Protection

Abstract

In digital information science, there is a crisis represented in resisting tampering and protecting the copyright of digital content when storing, transmitting, and processing encrypted information in systems where digital content can easily be disseminated through communication channels. Watermarking is one of the techniques adopted in protecting digital property and information. It is the technology of infusing a watermark with property rights in other multimedia through a specific algorithm. A comparison of the two digital watermarking methods known as DWT and DWT-SVD is offered in this article. In the case of using the watermark technique with DWT wavelet transformation, the decomposition of the original image is complete for the watermark implant, and in the case of the DWT-SVD watermark technique the original image given to the DWT is first decomposed and then the watermark is transplanted into the individual values obtained by applying SVD (single value analysis). Watermarking methods in this work aim to provide protection for copywriting. Later, presentations of the presented technologies are compared based on PSNR and MSE values. The results show that the hybrid DWT-SVD technique is significantly better than the DWT technique. Finally, the proposed method has been compared with another watermarking technique. The system is also very resistant to a variety of image-processing-related attacks

Downloads

Download data is not yet available.

References

C. I. Podilchuk and E. J. Delp, "Digital Watermarking: Algorithms and Applications", IEEE Signal Processing Magazine, (2001) July.
Verma, V.; Singh, M.J. Digital image watermarking techniques: A comparative study. Int. J. Adv. Electr. Electron. Eng. 2013, 2, 173–184.
Hai, T.; Li, C.M.; Zain, J.M.; Abdalla, A.N. Robust image watermarking theories and techniques: A review. J. Appl. Res. Technol. 2014, 12, 122–138.
Isamadeen A. Khalifa, Farhad M. Khalifa, Subhi RM Zeebaree, Musa Ataş, "Comparison between BPNN and RBNN in Frequency Domain Image Steganalysis using Co-Occurrence Matrix", International Engineering and Science Symposium (IESS 2019), Proceedings Book, pp.239-243.
Saraju P. Mohanty, "Digital Watermarking: A Tutorial Review", Indian Institute of Science, Bangalore, 1999.
Zamani, M., Manaf, A.B.A., Ahmad, R.B., Jaryani, F., Chaeikar, S.S. and Zeidanloo, H.R., 2010, March. "Genetic audio watermarking". In International Conference on Business Administration and Information Processing (pp. 514-517). Springer, Berlin, Heidelberg.
Saman Shojae Chaeikar, Azizah Bt Abdul Manaf, and Mazdak Zamani. Comparative analysis between Master key and Interpretative Key Management (IKM) Framework to provide utilization guidelines for researchers and developers. Cryptography and Security in Computing, Publisher online InTech. 2012.
Babawuro Usman, Shehu Ayuba, "Practical Digital Image Enhancements using Spatial and Frequency Domains Techniques", International Research Journal of Computer Science, Vol. 2, Iss. 5, pp. 27-32, 2015.
C.-C. Lai, Member, and C.-C. Tsai, "Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition", IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 11, (2010) November.
P.-Y. Lin, J.-S. Lee and C.-C. Chang, "Dual Digital Watermarking for Internet Media Based on Hybrid Strategies", IEEE Transactions on Circuits and System for Video Technology, vol. 19, no. 8, (2009) August.
Chang, C.C., Tsai, P., Lin, C.C.: 'SVD-based digital image watermarking scheme', Pattern Recognit. Lett, 2005, 26, (10), pp. 1577–1586
Chung, K.L., Yang, W.N., Huang, Y.H., et al.: 'On SVD-based watermarking algorithm', Appl. Math. Comput., 2007, 188, (1), pp. 54–57
Fan, M.Q., Wang, H.X., Li, S.K.: 'Restudy on SVD-based watermarking scheme', Appl. Math. Comput., 2008, 203, (2), pp. 926–930
Lai, C.C.: 'An improved SVD-based watermarking scheme using human visual characteristics', Opt. Commun., 2011, 284, (4), pp. 938–944
Zhou, Xiao & Zhang, Heng & Wang, Chengyou. (2018). A Robust Image Watermarking Technique Based on DWT, APDCBT, and SVD. Symmetry. 10. 77. 10.3390/sym10030077.
J. Abraham and V. Paul, "Image watermarking using DCT in selected pixel regions," 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), Kanyakumari, 2014, pp. 398-402. doi: 10.1109/ICCICCT.2014.6992994.
Khalifa, Isamadeen A., Subhi RM Zeebaree, Musa Ataş, and Farhad M. Khalifa. "Image Steganalysis in Frequency Domain Using Co-Occurrence Matrix and Bpnn." Science Journal of University of Zakho 7, no. 1 (201349): 27-32.
Malik, V., Sangwan, N. and Sangwan, S., 2017. Digital Watermarking using DWT-SVD Algorithm. Advances in Computational Sciences and Technology, 10(7), pp.2161-2171.
M. V. Malakooti, Z. F. Panah and S. M. Hashemi, "Image Recognition Method based on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD)", SDIWC, (2013).
F. M. Khalifa and M. G. Saeed, "Image Watermarking Using All Phase Discrete Cosine Biorthogonal Transform in Selected Pixel Blocks," Polytech. J., vol. 10, no. 1, pp. 68–73, 2020, doi: 10.25156/ptj.v10n1y2020.pp68-73.
M. V. Malakooti, Z. F. Panah and S. M. Hashemi, “Image Recognition Method based on Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD)”, SDIWC, (2013).
Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 7 (2017) pp. 2161-2171 © Research India Publications
Jabade, V.S. and Gengaje, D.S.R., 2011. Literature review of wavelet based digital image watermarking techniques. International Journal of Computer Applications, 31(1), pp.28-35.
Thung, K.-H. and Raveendran, P. (2009) A Survey of Image Quality Measures. IEEE Technical Postgraduates (TECHPOS) International Conference, Kuala Lumpur, 14-15 December 2009, 1-4.
Sogaard, J., Krasula, L., Shahid, M., Temel, D., Brunnstrom, K., and Razaak, M. (2016) Applicability of Existing Objective Metrics of Perceptual Quality for Adaptive Video Streaming. Society for Imaging Science and Technology IS&T International Symposium on Electronic Imaging.
Prateek Gupta, Priyanka Sarivastava, Satyam Bhardwaj, Vikrant Bhateja, "A HVS Based Perceptual Quality Estimation Measure for Color Images," ACEEE International Journal on Signal & Image Processing, Vol. 03, pp. 63-69, 2012.
Hasoon, S. O. and F. M. Khalifa. 2012. Steganalysis using KL transform and radial basis neural network. AL-Rafidain J. Comput. Sci. Math. 9(1): 47-58.
M. D. Swanson, B. Zhu, and A. H. Tewfik, "Robust Data Hiding for Images", IEEE Digital Signal Processing Workshop, pp. 37-40, Department of Electrical Engineering, University of Minnesota.
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity", IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
Deshpande, R.G., Ragha, L.L. and Sharma, S.K. (2018) Video Quality Assessment through PSNR Estimation for Different Compression Standards. Indonesian Journal of Electrical Engineering and Computer Science, 11, 918-924.