A new hybrid watermarking algorithm for MRI medical images using DWT and hash functions

Taher, Fatma; Kunhu, Alavi; Al-Ahmad, Hussain

doi:10.1109/embc.2016.7590923

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…For medical images there are three main categories of watermarking algorithms, based on RONI [14][15][16][17][18][19], based on classical conventional digital watermarking [20][21][22][23][24] and based on reversible watermarking [25][26][27][28]. For the algorithm based on the first and second categories, the watermarking strategies degrade the image quality themselves.…”

Section: Proposed Methodologymentioning

confidence: 99%

A robust watermarking algorithm for medical images

Nagm

Safy²

2020

IJEECS

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<p>Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-interest at the same time it preserves the image details. The performance of the proposed approach is evaluated using several performance measures such as the Mean Square Error (MSE), the Mean Absolute Error (MAE), the Peak Signal to Noise Ratio (PSNR), the Universal Image Quality Index (UIQI) and the Structural Similarity Index (SSIM). The proposed approach has been tested and shown robustness in detecting the intentional attacks that change image, specifically the most important diagnostic information.</p>

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Section: Proposed Methodologymentioning

confidence: 99%

A robust watermarking algorithm for medical images

Nagm

Safy²

2020

IJEECS

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“…DWT based techniques are alluring a result of their simplicity and less computational weight. Further hybrid techniques are developed by researchers for integrating the advantages of both spatial and transform domain or different techniques of frequency domain itself [7], [8], [10], [17], [18], [25], [30]- [33].…”

Section: Fig 1 Taxonomy Of Digital Watermarkingmentioning

confidence: 99%

“…For image watermarking, selection of sub-band for embedding watermark depends on the applications and type of images used. In literature, some researchers have used HL sub-band [11], [29], [34], few have embedded watermark in HH sub-band [10], [36] and others have used LL sub-band [7], [14], [30]. Also more than two sub-bands are used to embed different components or multiple watermarks [3], [6], [35].…”

Section: B Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

Verma¹,

Sharma²

2019

IJITEE

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In Modern healthcare systems, diagnostic information of patients is managed digitally. Watermarking strategies plays a significant role to ensure the security, authenticity and management of biomedical images and related patient information. This paper explores different invisible Digital watermarking methods both in spatial and transform / frequency domain and then Hybrid method by combining two techniques to justify better results for medical images. Here, host image considered is a medical image and patient’s information is a watermark which is embedded into it. The embedded watermark is hidden in medical host image and its quality should not be degraded to avoid misdiagnosis by doctors. In this paper, LSB, SVD, DCT, DWT and Hybrid techniques (DWT+SVD) are implemented for embedding and extraction process of invisible medical image watermarking. The performance is evaluated based on PSNR as a measure of imperceptibility and CRC & SSIM as a check of robustness. The attacks introduced are cropping, rotating, and noise like Gaussian, Salt & Paper, Speckle and Poisson. Results reveal that DWT provides higher PSNR values but it is robust for few attacks only. On the other side, SVD provides consistent SSIM for all attacks, although PSNR values are less than that of DWT. Hence a hybrid technique is implemented by incorporating benefits of DWT and SVD both and achieved optimal values of PSNR as well as SSIM to provide better security to medical images by preserving the quality as well.

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“…Although the watermark image can be restored to the original image without loss, the watermark is not robust. Therefore, finding a feature vector that can resist geometric attacks in medical images so that the algorithm can show good robustness without changing the original image is a problem that has long puzzled researchers [7,8,12,13,20,21]. For algorithms based on the first and third categories, the embedding of watermarks affects the images themselves, and these watermarking algorithms have poor anti-geometric attack capabilities; they cannot even resist the tiny geometric transformations [9,10,[22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Liu

et al. 2019

Applied Sciences

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To resolve the contradiction between existing watermarking methods—which are not compatible with the watermark’s ability to resist geometric attacks—and robustness, a robust multi-watermarking algorithm suitable for medical images is proposed. First, the visual feature vector of the medical image was obtained by dual-tree complex wavelet transform and discrete cosine transform (DTCWT-DCT) to perform multi-watermark embedding and extraction. Then, the multi-watermark was preprocessed using the henon map chaotic encryption technology to strengthen the security of watermark information, and combined with the concept of zero watermark to make the watermark able to resist both conventional and geometric attacks. Experimental results show that the proposed algorithm can effectively extract watermark information; it implements zero watermarking and blind extraction. Compared with existing watermark technology, it has good performance in terms of its robustness and resistance to geometric attacks and conventional attacks, especially in geometric attacks.

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A new hybrid watermarking algorithm for MRI medical images using DWT and hash functions

Cited by 7 publications

References 5 publications

A robust watermarking algorithm for medical images

A robust watermarking algorithm for medical images

Hybrid Mode of Medical Image Watermarking To Enhance Robustness and Imperceptibility

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

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