A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

Novamizanti, Ledya; Wahidah, Ida; Wardana, Ni Putu Dhea Prameiswari

doi:10.22266/ijies2020.1231.24

Cited by 21 publications

(24 citation statements)

References 19 publications

(37 reference statements)

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“…To compare the performance of the proposed method under various attacks, Table 4 illustrates the performance of our scheme against the same works listed in Table 2. It can be clearly seen from Table 2 and Table 4 that the proposed scheme outperformed the other works where the closest results obtained from [15] achieved an average PSNR value of 50.37 dB while the other competitive results are in [19] which achieved an average PSNR value of 54.29 dB. On the other hand, our proposed scheme achieved an average PSNR value of 57.61 dB.…”

mentioning

confidence: 68%

“…The perceptual quality in terms of PSNR ranged from 51 to 55 dB, also, robustness test results were very competitive. In [19] authors proposed a robust watermarking scheme based on FDCT, DCT, and SVD. FDCT is performed up to the 3rd level and three sub-bands obtained high, middle, and low frequency curvelet coefficients, the high frequency (HF) is selected.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Novel FDCT-SVD Based Watermarking with Radon Transform for Telemedicine Applications

2022

IJIES

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Digital Watermarking has been widely employed for content authentication by securely embedding patient private information within medical images. In this work, we present a novel watermarking, which employs hybrid Multiscale/Multiresolution frequency coefficients selection using the Fast Discrete Curvelet Transform (FDCT) in conjunction with Singular Value Decomposition (SVD). In order to add an extra layer of security, the Radon Transform (RT) is applied on the watermarks before embedding for the sake of robustness and security due to RT properties of capturing image directionality which is essential against various attacks. The proposed method attained promising results and has shown that the imperceptibility of watermarked medical images is higher than 55 dB for all medical images. In addition, the scheme has shown an improved robustness compared with existing related work.

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confidence: 68%

Section: Literature Reviewmentioning

confidence: 99%

A Novel FDCT-SVD Based Watermarking with Radon Transform for Telemedicine Applications

2022

IJIES

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“…Novamizanti et al [15] introduced the singular value decomposition (SVD) method to medical image watermarking techniques based on FDCuT and DCT. Watermark embedding by exchanging the singular value of the watermark and the host image result from the FDCuT and DCT transformations.…”

Section: Related Workmentioning

confidence: 99%

Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification

Novamizanti

Suksmono

Danudirdjo

et al. 2023

IIUMEJ

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Sensitive data including medical images and electronic patient records (EPR) have potential value in the era of big data and telemedicine applications. Distribution of medical images and EPR over public networks requires a high level of privacy and security. Robust and imperceptible watermarking techniques are needed to provide copyright preservation for medical images and protect patient information security. This paper improves the technique of Coltuc et al. by modifying the discrete cosine transform (DCT) coefficient pairs in the watermark embedding formula. Our proposed formula ensures that the difference between the two coefficients is at least ????. If the difference between the two coefficients is less than ????, then the new pixels are modified so that the difference is equal to ????. The proposed method was evaluated on a variety of medical images, including X-ray, CT, US, MRI, and Colonoscopy, and compared to numerous robust watermarking techniques of the recent time. The experimental results demonstrate that the suggested method outperforms contemporary robust watermarking techniques in terms of imperceptibility, robustness, and security. The peak signal noise ratio (PSNR) for all modalities of watermarked medical images exceeds 54 dB, and the average PSNR is approximately 56 dB. The proposed method is outstanding compared to Coltuc's method due to a 93% and 14% increase in bit error rate (BER) and normalized correlation (NC), respectively. Our work is superior to various state-of-the-art robust watermarking techniques, allowing it to be employed effectively in medical applications. ABSTRAK: Data sensitif termasuk imej perubatan dan rekod pesakit elektronik (EPR) mempunyai potensi nilai dalam era aplikasi data besar dan teleperubatan. Pengedaran imej perubatan dan EPR melalui rangkaian awam memerlukan tahap privasi dan keselamatan yang tinggi. Teknik penanda air yang mantap dan tidak dapat dilihat diperlukan untuk menyediakan pemeliharaan hak cipta untuk imej perubatan dan melindungi keselamatan maklumat pesakit. Kertas kerja ini menambah baik teknik Coltuc et al. dengan mengubah suai pasangan pekali transformasi kosinus diskret (DCT) dalam formula pembenaman tera air. Formula yang dicadangkan kami memastikan bahawa perbezaan antara dua pekali adalah sekurang-kurangnya ????. Jika perbezaan antara dua pekali kurang daripada ????, maka piksel baharu diubah suai supaya perbezaannya sama dengan ????. Kaedah yang dicadangkan telah dinilai pada pelbagai imej perubatan, termasuk X-ray, CT, US, MRI, dan Kolonoskopi, dan dibandingkan dengan banyak teknik penanda air yang mantap pada masa terkini. Keputusan eksperimen menunjukkan bahawa kaedah yang dicadangkan mengatasi teknik penanda air teguh kontemporari dari segi ketidakjelasan, keteguhan dan keselamatan. Nilai PSNR untuk semua modalitas imej perubatan bertanda air melebihi 54 dB, dan nilai purata PSNR adalah lebih kurang 56 dB. Kaedah yang dicadangkan adalah cemerlang daripada kaedah Coltuc kerana masing-masing peningkatan 93% dan 14% dalam BER dan NC. Kerja kami lebih unggul daripada pelbagai teknik penanda air teguh terkini, membolehkan ia digunakan dengan berkesan dalam aplikasi perubatan.

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“… Copyright protection applications Robust watermarking Robust watermarking techniques are resistant to multiple various attacks. The authors in [ 125 ] applied the SVD method to the medical image watermarking technique based on FDCuT-DCT. The proposed algorithm has good imperceptibility so that it can maintain the quality of medical images used in copyright protection Fragile watermarking Watermark allows being demolished by straightforward alteration easily.…”

Section: Watermarkingmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

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A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

Cited by 21 publications

References 19 publications

A Novel FDCT-SVD Based Watermarking with Radon Transform for Telemedicine Applications

A Novel FDCT-SVD Based Watermarking with Radon Transform for Telemedicine Applications

Robust and Imperceptible Watermarking on Medical Images using Coefficient Pair Modification

Security of medical images for telemedicine: a systematic review

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