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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

A survey : Digital image watermarking recent trends and techniques

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pp. 1051–1059Vol. 45Issue 4May 2024DOI: 10.47974/JIOS-1627XML
Published Online:
29 May 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1627
Pages:
1051–1059

Abstract

Due to the proliferation of the web, digital content security has emerged as a substantial issue. Authentication becomes more challenging as the process of manipulating digital images becomes more streamlined. Digital watermarking provides superior protection for images compared to conventional security methods. In the modern digital age, the need for dependable image authentication methods has always been a domain of intense fascination among academicians and researchers. The transmission of sensitive information via conventional correspondence methods in the present day is susceptible to numerous breaches. Several established techniques for robustness and imperceptibility are demonstrated through the investigation and critical analysis of this study. Furthermore, an extensive overview of fundamental concepts such as the transform domain and the spatial domain is furnished. This research presents a comprehensive examination of current techniques utilized in the watermarking of digital images, as well as well-established methodologies employed in diverse fields. Therefore, this research study has the potential to be a valuable resource for scientists attempting to create watermarking techniques that are practical in nature.

Keywords

Subject Classifications

Primary 68T99

References

[1] S. M. Mousavi, A. Naghsh, and S. A. R. Abu-Bakar, “Watermarking Techniques used in Medical Images: a Survey,” J Digit Imaging, vol. 27, no. 6, pp. 714–729, Dec. (2014), doi: 10.1007/s10278-014-9700-5.[2] A. Menendez-Ortiz, C. Feregrino-Uribe, R. Hasimoto-Beltran, and J. J. Garcia-Hernandez, “A Survey on Reversible Watermarking for Multimedia Content: A Robustness Overview,” IEEE Access, vol. 7, pp. 132662–132681 (2019), doi: 10.1109/ACCESS.2019.2940972.[3] P. Kadian, S. M. Arora, and N. Arora, “Robust Digital Watermarking Techniques for Copyright Protection of Digital Data: A Survey,” Wireless Personal Communications, vol. 118, no. 4. Springer, pp. 3225–3249, Jun. 01 (2021). doi: 10.1007/s11277-021-08177-w.[4] F. Ernawan and D. Ariatmanto, “A recent survey on image watermarking using scaling factor techniques for copyright protection,” Multimed Tools Appl (2023), doi: 10.1007/s11042-023-14447-5.[5] Bhatnagar, Vaibhav, et al. “Descriptive analysis of COVID-19 patients in the context of India.” Journal of Interdisciplinary Mathematics 24.3 : 489-504 (2021).[6] A. Soualmi, A. Benhocine, and I. Midoun, “Artificial Bee Colony-Based Blind Watermarking Scheme for Color Images Alter Detection Using BRISK Features and DCT,” Arab J Sci Eng (2023), doi: 10.1007/s13369-023-07958-8.[7] M. Begum, J. Ferdush, and M. S. Uddin, “A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 8, pp. 5856–5867, Sep. (2022), doi: 10.1016/j.jksuci.2021.07.012.[8] E. Fragoso-Navarro, K. Rangel-Espinoza, M. Nakano-Miyatake, M. Cedillo-Hernandez, and H. Perez-Meana, “Seam Carving based visible watermarking robust to removal attacks,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 7, pp. 4499–4513, Jul. (2022), doi: 10.1016/j.jksuci.2021.03.010.[9] Z. Garcia-Nonoal, D. Mata-Mendoza, M. Cedillo-Hernandez, and M. Nakano-Miyatake, “Secure management of retinal imaging based on deep learning, zero-watermarking and reversible data hiding,” Visual Computer, vol. 40, no. 1, pp. 245–260, Jan. (2024), doi: 10.1007/s00371-023-02778-1.[10] S. Wang, L. Zhang, Q. Zhang, and Y. Li, “A zero-watermarking algorithm for vector geographic data based on feature invariants,” Earth Sci Inform, vol. 16, no. 1, pp. 1073–1089, Mar. (2023), doi: 10.1007/s12145-022-00886-5.[11] F. Dong, J. Li, U. A. Bhatti, J. Liu, Y. W. Chen, and D. Li, “Robust Zero Watermarking Algorithm for Medical Images Based on Improved NasNet-Mobile and DCT,” Electronics (Switzerland), vol. 12, no. 16, Aug. (2023), doi: 10.3390/electronics12163444.[12] X. Xi, Y. Hua, Y. Chen, and Q. Zhu, “Zero-Watermarking for Vector Maps Combining Spatial and Frequency Domain Based on Constrained Delaunay Triangulation Network and Discrete Fourier Transform,” Entropy, vol. 25, no. 4, Apr. (2023), doi: 10.3390/e25040682.[13] A. Saini et al., “© Systematic comparison of digital video watermarking aspects with techniques and algorithm designing issue,” Journal of Discrete Mathematical Sciences and Cryptography, pp. 1–12 (2024), doi: 10.47974/JDMSC-1646.[14] P. Saxena and S. Kumar, “Robust video watermarking algorithm based on motion frames and encryption,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 26, no. 5, pp. 1327–1339 (2023), doi: 10.47974/JDMSC-1748.[15] B. Han, H. Wang, D. Qiao, J. Xu, and T. Yan, “Application of Zero-Watermarking Scheme Based on Swin Transformer for Securing the Metaverse Healthcare Data,” IEEE J Biomed Health Inform (2023), doi: 10.1109/JBHI.2023.3257340.[16] M. K. Gupta et al., “Detection and localization for watermarking technique using LSB encryption for DICOM Image,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 25, no. 1, pp. 193–204 (2022), doi: 10.1080/09720529.2021.2009193.[17] M. Sheng, J. Li, U. A. Bhatti, J. Liu, M. Huang, and Y. W. Chen, “Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT,” Computers, Materials and Continua, vol. 75, no. 1, pp. 293–309 (2023), doi: 10.32604/cmc.2023.036438.[18] B. Han, R. H. Jhaveri, H. Wang, D. Qiao, and J. Du, “Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data,” IEEE J Biomed Health Inform, vol. 27, no. 2, pp. 804–813, Feb. (2023), doi: 10.1109/JBHI.2021.3123936.
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