Watermarking berbasis Redundant Discrete Wavelet Transform dan Arnold Transform pada Citra Medis

Ledya Novamizanti(1), Irma Safitri(2), Hafizhan Bhamakerti Arindaka(3), Iwan Iwut Tritoasmoro(4),


(1) Telkom University
(2) Telkom University
(3) Telkom University
(4) Telkom University

Abstract

In telemedicine, data transmission in digital medical images and electronic medical records through the internet is vulnerable to various threats of theft and manipulation. Image watermarking is needed to provide authentication and security to medical images. This paper proposes an image watermarking scheme based on Redundant Discrete Wavelet Transform (RDWT) and Discrete Cosine Transform (DCT) with watermark encryption using Arnold transform. First, the original host medical image was decomposed into four subbands using RDWT. Then, DCT is applied to the LH subband of the RDWT. On the other hand, the watermark is scrambled using Arnold transform to ensure identity security. The singular value of the watermarked image is obtained by modifying the singular value of the host image and the watermark. Tests were carried out on different medical images, namely X-ray, MRI, CT, and ultrasound, with a watermark in a proprietary logo. The host medical image is the same size as the watermark image. The result of this study can provide high authentication, imperceptibility and security in medical images, with an average PSNR value of 65.67 dB, SSIM 1, BER 0, NC 1. This scheme is resistant to JPEG compression, noise addition, filtering, image sharpening, image enhancement, geometric operations, motion blur, image sharpening, and histogram equalization.

Keywords

medical image; watermarking; RDWT; DCT; SVD; Arnold transform

Full Text:

PDF

References

A. Sharma, A. K. Singh, and S. P. Ghrera, “Robust and Secure Multiple Watermarking for Medical Images,” Wirel. Pers. Commun., vol. 92, no. 4, pp. 1611–1624, 2017, doi: 10.1007/s11277-016-3625-x.

R. Thanki, S. Borra, V. Dwivedi, and K. Borisagar, “An efficient medical image watermarking scheme based on FDCuT–DCT,” Eng. Sci. Technol. an Int. J., vol. 20, no. 4, pp. 1366–1379, 2017, doi: 10.1016/j.jestch.2017.06.001.

A. F. Qasim, F. Meziane, and R. Aspin, “Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review,” Comput. Sci. Rev., vol. 27, pp. 45–60, 2018, doi: 10.1016/j.cosrev.2017.11.003.

S. Kumar and R. K. Jha, “FD-based detector for medical image watermarking,” 2019, doi: 10.1049/iet-ipr.2018.5485.

P. Khare and V. K. Srivastava, “A Secured and Robust Medical Image Watermarking Approach for Protection Integrity of Medical Images,” Trans. Emerg. Telecommun. Technol., vol. 32, no. 2, p. e3918, 2021.

I. Assini, A. Badri, K. S. A. Sahel, and A. Baghdad, “A robust hybrid watermarking technique for securing medical image,” Int. J. Intell. Eng. Syst., vol. 11, no. 3, pp. 169–176, 2018, doi: 10.22266/IJIES2018.0630.18.

M. Hamidi, M. El Haziti, H. Cherifi, and M. El Hassouni, “Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform,” Multimed. Tools Appl., vol. 77, no. 20, pp. 27181–27214, 2018, doi: 10.1007/s11042-018-5913-9.

S. Roy and A. K. Pal, “A robust blind hybrid image watermarking scheme in RDWT-DCT domain using Arnold scrambling,” Multimed. Tools Appl., vol. 76, no. 3, pp. 3577–3616, 2017, doi: 10.1007/s11042-016-3902-4.

X. bing Kang, F. Zhao, G. feng Lin, and Y. jun Chen, “A novel hybrid of DCT and SVD in DWT domain for robust and invisible blind image watermarking with optimal embedding strength,” Multimed. Tools Appl., vol. 77, no. 11, pp. 13197–13224, 2018, doi: 10.1007/s11042-017-4941-1.

R. Thanki, A. Kothari, and D. Trivedi, “Hybrid and blind watermarking scheme in DCuT – RDWT domain,” J. Inf. Secur. Appl., vol. 46, pp. 231–249, 2019, doi: 10.1016/j.jisa.2019.03.017.

F. Ernawan and M. N. Kabir, “A block-based RDWT-SVD image watermarking method using human visual system characteristics,” Vis. Comput., vol. 36, no. 1, pp. 19–37, 2020, doi: 10.1007/s00371-018-1567-x.

W. H. Alshoura, Z. Zainol, J. Sen Teh, and M. Alawida, “A New Chaotic Image Watermarking Scheme Based on SVD and IWT,” IEEE Access, vol. 8, pp. 43391–43406, 2020, doi: 10.1109/ACCESS.2020.2978186.

T. K. Araghi and A. A. Manaf, “An enhanced hybrid image watermarking scheme for security of medical and non-medical images based on DWT and 2-D SVD,” Futur. Gener. Comput. Syst., vol. 101, pp. 1223–1246, 2019, doi: 10.1016/j.future.2019.07.064.

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, 2014, doi: 10.1007/s10278-014-9700-5.

D. Ariatmanto and F. Ernawan, “An improved robust image watermarking by using different embedding strengths,” pp. 12041–12067, 2020.

L. Novamizanti, I. Wahidah, and N. Wardana, “A Robust Medical Images Watermarking Using FDCuT-DCT-SVD,” Int. J. Intell. Eng. Syst., vol. 13, no. 6, pp. 266–278, 2020, doi: 10.22266/ijies2020.1231.24.

N. M. Makbol, B. Ee, and T. H. Rassem, “Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain,” pp. 26845–26879, 2018.

S. Thakur, A. K. Singh, and S. P. Ghrera, “Multi-layer security of medical data through watermarking and chaotic encryption for tele-health applications,” pp. 3457–3470, 2019.

F. N. Thakkar and V. K. Srivastava, “A blind medical image watermarking : DWT-SVD based robust and secure approach for telemedicine applications,” vol. 76, pp. 3669–3697, 2017, doi: 10.1007/s11042-016-3928-7.

J. Guo and H. Prasetyo, “Security analyses of the watermarking scheme based on redundant discrete wavelet transform and singular value decomposition,” AEUE - Int. J. Electron. Commun., vol. 68, no. 9, pp. 816–834, 2014, doi: 10.1016/j.aeue.2014.03.008.

F. Ernawan, M. N. Kabir, and A. A. Scrambling, “A Blind Watermarking Technique using Redundant Wavelet Transform for Copyright Protection,” 2018 IEEE 14th Int. Colloq. Signal Process. Its Appl., no. March, pp. 221–226, 2018, doi: 10.1109/CSPA.2018.8368716.

A. Menendez-ortiz, C. Feregrino-uribe, 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.

N. S. Utami, L. Novamizanti, S. Saidah, and I. N. A. Ramatryana, “SVD on a Robust Medical Image Watermarking based on SURF and DCT,” in 2021 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2021, pp. 32–38.

S. M. Mousavi and A. Naghsh, “A robust medical image watermarking against salt and pepper noise for brain MRI images,” pp. 10313–10342, 2017, doi: 10.1007/s11042-016-3622-9.

P. Aparna, P. Venkata, and V. Kishore, “Biometric-based efficient medical image watermarking in E-healthcare application,” vol. 13, pp. 421–428, 2019, doi: 10.1049/iet-ipr.2018.5288.

Refbacks

  • There are currently no refbacks.