1. Rashid A. Digital watermarking applications and techniques: A brief review. International Journal of Computer Applications Technology and Research, 2016, Vol. 5, No. 3, Pp. 147–150.
2. Gribunin V.G., Okov I.N., Turintsev I.V. Tsifrovaia steganografiia [Digital steganography]. Moscow: SOLON-PRESS, 2017.
3. Wan W., Wang J., Zhang Y., Li J., Yu H., Sun J. A comprehensive survey on robust image watermar-king. Neurocomputing, 2022, Vol. 488, Pp. 226–247. DOI: 10.1016/j.neucom.2022.02.083
4. Langelaar G.C., Setyawan I., Lagendijk R.L. Watermarking digital image and video data. A state-of-the-art overview. IEEE Signal Processing Magazine, 2000, Vol. 17, No. 5, Pp. 20–46. DOI: 10.1109/79.879337
5. Piva A., Barni M., Bartolini F., Cappellini V. Threshold selection for correlation-based watermark detection. Proceedings of COST254 Workshop on Intelligent Communications, 1998, Vol. 254, Pp. 67–72.
6. Amirgholipour S., Naghsh-Nilchi A.R., Sharifi A.M., Alirezanejad M., Arab M. Application of unsharp mask in augmenting the quality of extracted watermark in spatial domain watermarking. Journal of Mathematics and Computer Science, 2014, Vol. 11, Pp. 137–146.
7. Jane O., Ilk G. Implementation of adaptive unsharp masking as a pre-filtering method for watermark detection and extraction. Advances in Electrical and Electronic Engineering, 2016, Vol. 14, No. 4, Pp. 429–436. DOI: 10.15598/aeee.v14i4.1827
8. Amirgholipour S., Sharifi A. A pre-filtering method to improve watermark detection rate in DCT based watermarking. The International Arab Journal of Information Technology, 2014, Vol. 11, No. 2, Pp. 178–185.
9. Jain A.K. Fundamentals of digital image processing. Englewood Cliffs, NJ (US): Prentice Hall, 1989.
10. Cox I.J., Kilian J., Leighton F.T., Shamoon T. Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing, 1997, Vol. 6, No. 12, Pp. 1673–1687. DOI: 10.1109/83.650120
11. Wallace G.K. The JPEG still picture compression standard. IEEE Transactions on Consumer Electronics, 1992, Vol. 38, No. 1, Pp. XVIII-XXXIV. DOI: 10.1109/30.125072
12. Waltz F.M., Miller J.W.V. Efficient algorithm for Gaussian blur using finite-state machines. Machine Vision Systems for Inspection and Metrology VII, 1998, Vol. 3521, Pp. 334–341. DOI: 10.1117/12.326976
13. Powers D.M.W. Evaluation: from precision, recall and F-measure to ROC, informedness, marked-ness and correlation. arXiv:2010.16061, 2020. DOI: 10.48550/arXiv.2010.16061
14. Brent R.P. Algorithms for minimization without derivatives. Englewood Cliffs, NJ (US): Prentice Hall, 1973.
15. Rashtchian C., Young P., Hodosh M., Hockenmaier J. Collecting image annotations using Amazon’s Mechanical Turk. Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, 2010, Pp. 139–147.
16. Horé A., Ziou D. Image quality metrics: PSNR vs. SSIM. 2010 20th International Conference on Pattern Recognition, 2010. Pp. 2366–2369. DOI: 10.1109/ICPR.2010.579
17. Li Z., Bampis C., Novak J., Aaron A., Swanson K., Moorthy A., De Cock J. VMAF: The journey continues, 2018. [online] Available: https://netflixtechblog.com/vmaf-the-journey-continues-44b51ee9ed12 (Accessed 17.03.2026)
18. Plummer B.A., Wang L., Cervantes C.M., Caicedo J.C., Hockenmaier J., Lazebnik S. Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models. arXiv:1505.04870, 2015. DOI: 10.48550/arXiv.1505.04870
19. Fawcett T. An introduction to ROC analysis. Pattern Recognition Letters, 2006, Vol. 27, No. 8, Pp. 861–874. DOI: 10.1016/j.patrec.2005.10.010
20. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O. et al. Scikit-learn: Machine learning in Python. The Journal of Machine Learning Research, 2011, Vol. 12, Pp. 2825–2830.
21. Hunter J.D. Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 2007, Vol. 9, No. 3, Pp. 90–95. DOI: 10.1109/MCSE.2007.55
22. Kuncheva L.I. Combining pattern classifiers: methods and algorithms. Hoboken, NJ (US): John Wiley & Sons, 2014.