Comparative analysis of the methods of watermarking X-ray images
Weronika Kulbaka
Lublin University of Technology (Poland)
Paulina Paluch
paulina.paluch1@pollub.edu.plPaluch (Poland)
Grzegorz Kozieł
Lublin University of Technology (Poland)
Abstract
This paper is devoted to the comparative analysis of watermarking algorithms for X-ray images. The techniques based on discrete wavelet transform (DWT), singular value decomposition (SVD) and DWT-SVD hybrid were compared. Transparency, resistance to graphical transformations, and performance were investigated. The watermarked images were visually evaluated and quality tested. SVD showed the highest resistance to attacks, and the embedded watermarked images were of better quality in the comparison to the other algorithms. The DWT technique was the fastest, but not resistant to graphical transformations. In DWT-SVD labeled images, the watermark is indistinguishable, but the resistance to attacks is low. The SVD was found to be the most suitable method for watermarking of X-ray images.
Keywords:
digital watermarks; security; steganographyReferences
A. Anand, A. K. Singh, An improved DWT-SVD domain watermarking for medical information security. Computer Communications, 152 (2020) 72-80.
DOI: https://doi.org/10.1016/j.comcom.2020.01.038
Google Scholar
A. Anand, A. K. Singh, Watermarking techniques for medical data authentication: a survey. Multimedia Tools and Applications 313 (2020) 1-33.
Google Scholar
S. M. Arora, A DWT-SVD based robust digital watermarking for digital images. Procedia computer science, 132 (2018) 1441-1448.
DOI: https://doi.org/10.1016/j.procs.2018.05.076
Google Scholar
M. Begum, M. S. Uddin, Digital Image Watermarking Techniques: A Review. Information, 11(2) (2020) 110.
DOI: https://doi.org/10.3390/info11020110
Google Scholar
B. V. Bhalerao, R. R. Manza, Y. M. Rajput, Use of quality measures for rural indian fingerprint image database enhancement and improve the recognition rate. International Journal of Computer Applications, 70(18) (2013) 13-15.
DOI: https://doi.org/10.5120/12166-8124
Google Scholar
P. Garg, R. R. Kishore, Performance comparison of various watermarking techniques. Multimedia Tools and Applications, 79(35) (2020) 25921-25967.
DOI: https://doi.org/10.1007/s11042-020-09262-1
Google Scholar
Internetowa baza zdjęć medycznych: https://medpix.nlm.nih.gov/home, [22.03.2021r.]
Google Scholar
Internetowa społeczność naukowców i praktyków uczenia maszynowego: https://www.kaggle.com, [22.03.2021r.]
Google Scholar
F. Kahlessenane, A. Khaldi, R. Kafi,, S. Euschi, A DWT based watermarking approach for medical image protection. Journal of Ambient Intelligence and Humanized Computing, 12(4) (2020) 1-8.
DOI: https://doi.org/10.1007/s12652-020-02450-9
Google Scholar
Y. H. Liu, K. F. Yang, H. M. Yan, No-Reference Image Quality Assessment Method Based on Visual Parameters. Journal of Electronic Science and Technology, 17(2) (2019) 171-184.
Google Scholar
A. Ray, S. Roy, Recent trends in image watermarking techniques for copyright protection: a survey. International Journal of Multimedia Information Retrieval, 9(4) (2020) 1-22.
DOI: https://doi.org/10.1007/s13735-020-00197-9
Google Scholar
U. Sara, M. Akter, M. S. Uddin, Image quality assessment through FSIM, SSIM, MSE and PSNR—a comparative study. Journal of Computer and Communications, 7(3) (2019) 8-18.
DOI: https://doi.org/10.4236/jcc.2019.73002
Google Scholar
A. Shehab, M. Elhoseny, K. Muhammad, A. K. Sangaiah, P. Yang, H. Huang, G. Hou, Secure and robust fragile watermarking scheme for medical images. IEEE Access, 6 (2018) 10269-10278.
DOI: https://doi.org/10.1109/ACCESS.2018.2799240
Google Scholar
R. Mironov, S. Kushlev, Medical Images Watermarking using Wavelet Transform and DCT. In LIII International Scientific Conference on Information, Communication and Energy Systems and Technologies, Sozopol , 2018.
Google Scholar
M. S. El_Tokhy, Development of optimum watermarking algorithm for radiography images. Computers & Electrical Engineering, 89 (2021) 106932.
DOI: https://doi.org/10.1016/j.compeleceng.2020.106932
Google Scholar
H. Lala, Digital image watermarking using discrete wavelet transform. International Research Journal of Engineering and Technology, 4(1) (2017) 1682-1685.
Google Scholar
Authors
Weronika KulbakaLublin University of Technology Poland
Authors
Grzegorz KoziełLublin University of Technology Poland
Statistics
Abstract views: 279PDF downloads: 235
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.