Triple Watermarking Scheme for Digital Images
Abstract
Digital watermarking of text, image, and video data has become an indispensable strategy for the authentication, validation, and ultimate protection of digital content. This study aims to develop a resilient, imperceptible watermarking scheme for digital images. A triple transform domain watermarking scheme based on stationary wavelet transform (SWT), discrete cosine transform (DCT), and singular value decomposition (SVD) is presented as a comprehensive, adaptable, and resilient solution for safeguarding digital content in a dynamic digital environment. The proposed scheme leverages the unique strengths of SWT, DCT, and SVD. SWT was used to decompose the image into various frequency bands, whereas DCT was applied to these high-frequency components, enhancing the security of the watermark. SVD was then used to decompose the image matrix into singular values, providing further robustness. The watermarking algorithm was designed to be both imperceptible and robust against various attacks. The imperceptibility and robustness of the scheme were evaluated on three publicly available datasets using metrics such as mean square error (MSE), peak signal-to-noise ratio (PSNR), normalized cross correlation (NCC), and bit error ratio (BER). The results indicate that the SWT-DCT-SVD watermarking scheme is both robust and imperceptible and compares relatively well with state-of-the-art schemes.
Keywords: watermarking, zigzag process, stationary wavelet transform, discrete wavelet transform, discrete cosine transform, embedding, extraction.
Full Text:
PDFReferences
HUSSEIN E. and BELAL M A. Digital Watermarking Techniques, Applications and Attacks Applied to Digital Media: A Survey. International Journal of Engineering Research & Technology, 2012, 1(7): 12-23.
ASANI E O, BIETY-NWANJU G, ADENIYI A E, et al. Development of an Image Encryption Algorithm using Latin Square Matrix and Logistics Map. International Journal of Advanced Computer Science and Applications, 2023, 14(9): 869-877. http://dx.doi.org/10.14569/IJACSA.2023.0140991
ASANI E O, OMOTOSHO A, DANQUAH P A. et al. A Maximum Entropy Classification Scheme for Phishing Detection using Parsimonous Features. TELKOMNIKA Telecommunication Computing Electronics and Control, 2021, 19(5): 1707-1714. http://doi.org/10.12928/TELKOMNIKA.v19i5.15981
RAWAT R, OKI O A, SANKARAN K S, et al. A New Solution for Cyber Security in Big Data Using Machine Learning Approach. In Mobile Computing and Sustainable Informatics. Lecture Notes on Data Engineering and Communications Technologies, 166, Springer, Singapore, 2023: 495-505.
ADESINA, AJAGBE S A, ODULE T J, and AGBELE K K. Development of an Improved School Information Management System. FUW Trends in Science & Technology Journal, 2022, 7(1): 120-132.
BEGUM M, and UDDIN M S. Digital Image Watermarking Techniques: A Review. Information, 2020, 11(2): 110-119.
TAHERA L A, and HEMACHANDRAN K. Digital Image Watermarking Techniques and its Applications. International Journal of Engineering Research & Technology, 2013, 2(3): 23-43.
PAYAL K, and NAVJOT K. A Review on Digital Image Watermarking. International Journal of Engineering Research & Technology, 2015, 4(12): 14-29.
HAI T, and LI C. Robust Image Watermarking Theories and Techniques: A Review. Journal of Applied Research and Technology, 2014, 12(1): 18-29.
KUMAR S, and SINGH B K. Entropy based spatial domain image watermarking and its performance analysis. Multimedia Tools and Applications, 2021, 80: 9315-9331. https://doi.org/10.1007/s11042-020-09943-x
ABRAHAM J, and PAUL V. An imperceptible spatial domain color image watermarking scheme. Journal of King Saud University - Computer and Information Sciences, 2019, 31(1): 125-133. https://doi.org/10.1016/j.jksuci.2016.12.004
YUAN Z, SU Q, LIU D, ZHANG X, and YAO T. Fast and robust image watermarking method in the spatial domain. IET Image Processing, 2020, 14(15): 3829-3838. https://doi.org/10.1049/iet-ipr.2019.1740
POONAM and ARORA S M. A DWT-SVD based Robust Digital Watermarking for Digital Images. Procedia Computer Science, 2018, 132: 1441-1448. https://doi.org/10.1016/j.procs.2018.05.076.
ABDULLATIF M, ZEKI A M, CHEBIL J, and GUNAWAN T S. Properties of digital image watermarking. Proceedings of the 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, Kuala Lumpur, Malaysia, 2013: 235-240, https://doi.org/10.1109/CSPA.2013.6530048.
AHMADERAGHI B, KURUGOLLU F, DEL RINCON J M, and BOURIDANE A. Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Transactions on Computational Imaging, 2018, 4(1): 46-59.
CHEN Z, CHEN Y, HU W, and QIAN D. Wavelet Domain Digital Watermarking Algorithm Based on Threshold Classification. In: TAN Y, SHI Y, BUARQUE F, et al. (Eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science, 9142: 129-136. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_15.
LIU S, PAN Z, and SONG H. Digital image watermarking method based on DCT and fractal encoding. IET Image Processing, 2017, 11(10): 815-821.
JOSEPH H, and RAJAN B K. Image Security Enhancement using DCT & DWT Watermarking Technique. Proceedings of the International Conference on Communication and Signal Processing, Chennai, India, 2020, pp. 0940-0945, https://doi.org/10.1109/ICCSP48568.2020.9182052.
AMIRI A, and MIRZAKUCHAKI S. A digital watermarking method based on NSCT transform and hybrid evolutionary algorithms with neural networks. SN Applied Sciences, 2020, 2: 1669. https://doi.org/10.1007/s42452-020-03452-0
DONG H, HE M, and QIU M. Optimized Gray-Scale Image Watermarking Algorithm Based on DWTDCT-SVD and Chaotic Firefly Algorithm. Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 310-313, 2015.
JOSEPH A, and ANUSUDHA K. Robust watermarking based on DWT SVD. International Journal of Signal & Image Processing, 2013, 1(1) https://doi.org/10.48550/arXiv.1309.2423
KANSAL M, SINGH G, and KRANTHI B V. DWT, DCT and SVD based Digital Image Watermarking. Proceedings of the International Conference on Computing Sciences, pp. 77-81, 2012
Refbacks
- There are currently no refbacks.