A Robust Multi-Watermarking Algorithm for Medical Images Based on DTCWT-DCT and Henon Map

Liu, Jing; Li, Jingbing; Ma, Jixin; Sadiq, Naveed; Bhatti, Uzair Aslam; Ai, Yang

doi:10.3390/app9040700

Cited by 76 publications

(45 citation statements)

References 28 publications

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“…Existing watermarking algorithms are less robust to geometric attacks. Hence, to resist geometric attacks, a multi-watermarking algorithm has been proposed for medical images, based on dual-tree complex wavelet transform (DTCWT), DCT and a Henon Map [113]. This algorithm can be used for medical security, security authentication, cloud storage, and cloud transmission.…”

Section: Hybrid Domain Watermarking Algorithms and Current Trends In mentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Section: Hybrid Domain Watermarking Algorithms and Current Trends In mentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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“…If −T − s•2 l < χ ex < −T, the current and the next watermark embedding flag are different from the corresponding watermark bit. In this case, extract the flags for the current and the next blocks in addition to correcting the flag of the current ESF by using Equations (30) and (31).…”

Section: Watermark Extractionmentioning

confidence: 99%

“…As medical images are highly sensitive to visual quality, most of the copyright protection algorithms use reversible embedding strategies. This approach ensures that after the watermarking is extracted, the medical image can be fully restored [28][29][30][31]. For example, Coatrieux et al [32] combine the reversible watermark scheme with a fragile reversible watermark embedding scheme.…”

Section: Introductionmentioning

confidence: 99%

A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Zhou

Zhang

et al. 2021

Electronics

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The authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to balance the tradeoff among robustness, imperceptibility, and embedded capacity. Some of them are even not completely reversible. Besides, most medical image watermarking algorithms are not designed for color images. To improve their performance in protecting medical color image information, we propose a novel RRW scheme based on the discrete wavelet transform (DWT). First, the DWT provides a robust solution. Second, the modification of the wavelet domain coefficient guarantees the changes of integer values in the spatial domain and ensures the reversibility of the watermarking scheme. Third, the embedding scheme makes full use of the characteristics of the original image and watermarking. This reduces the modification of the original image and ensures better imperceptibility. Lastly, the selection of the Zernike moments order for geometric correction is optimized to predict attack parameters more accurately by using less information. This enhances the robustness of the proposed scheme against geometric attacks such as rotation and scaling. The proposed scheme is robust against common and geometric attacks and has a high embedding capacity without obvious distortion of the image. The paper contributes towards improving the security of medical images in remote healthcare.

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“…Kingsbury [19], came out with the Dual-Tree Complex Wavelet Transform which is the DWT complex development [20]. The DTCWT fuse the DWT and CWT (Complex Wavelet Transform) criterions [21], where the main delivered advantages are translation invariance and favorable directional selectivity [22]. Figure 1 shows the DTCWT structure and coefficients orientations.…”

Section: Dual Tree Complex Wavelet Transformmentioning

confidence: 99%

Blind Digital Watermarking Framework Based on DTCWT and NSCT for Telemedicine Application

Nouioua¹,

Seddiki²,

Ghaz³

2020

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In this work, a blind watermarking framework for medical images based on Dual-Tree Complex Wavelet Transform (DTCWT) and Non-subsampled Contourlet Transform (NSCT) is proposed. The core idea of this technique is to embed the watermark in the appropriate NSCT sub-band obtained by decomposing the cover image low coefficients purchased from the DTCWT standing on a quantization embedding function, the extraction phase is done without the requirement of the original cover image, what makes it a fully blind process. As clarity and integrity of the retrieved watermark are mandatory, a series of tests were exerted to affirm the robustness of the proposed scheme. The effectiveness of the watermarking is validated by using the peak signal-to-noise ratio (PSNR) and the structural similarity index measure (SSIM) through experiments. Simulation results demonstrate the invisibility of the proposed method and its strong robustness against various attacks, including additive noise, image filtering, JPEG compression, amplitude scaling, rotation attack, and combinational attack. Furthermore, the method in hands outperformance within the quantitative comparisons with other techniques in the literature in terms of rapid execution time, and quality extraction of hidden information, and appropriateness to be integrated for secure exchange in the healthcare sector.

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A Robust Multi-Watermarking Algorithm for Medical Images Based on DTCWT-DCT and Henon Map

Cited by 76 publications

References 28 publications

Digital Image Watermarking Techniques: A Review

Digital Image Watermarking Techniques: A Review

A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Blind Digital Watermarking Framework Based on DTCWT and NSCT for Telemedicine Application

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