Patient Data Hiding and Integrity Control Using Prediction-Based Watermarking for Brain MRI and CT Scan Images

Abokhdair, Nuha Omran; Manaf, Azizah Abdul; Alfagi, Abdalrahman; Sultan, Mohamed Ab.; Mousavi, Seyed Mojtaba; Manaf, Zuraidah Abd; Mohamad, Fatma Susilawati

doi:10.1166/jmihi.2018.2370

Cited by 3 publications

(5 citation statements)

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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%

“…Last AC coefficient, the element number (8, 8) at every 8*8 block from the transformed red component is replaced by the same element of the transformed ciphered of the blue component to get the final modified component at frequency domain then perform the inverse transform to get it at the space domain, where the element (8, 8) of CB ͭ and other 64 coefficients for RM ͭ . At the end the modified red component will be according to the (15).…”

Section: Indonesian J Elec Eng and Comp Sci Issn: 2502-4752 mentioning

confidence: 99%

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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%

Section: Indonesian J Elec Eng and Comp Sci Issn: 2502-4752 mentioning

confidence: 99%

A robust watermarking algorithm for medical images

Nagm

Safy²

2020

IJEECS

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“…For medical images, compression mainly shows three indicators: first, the compression ratio should be large and the compression efficiency should be high; second, the calculation speed should be fast; third, the reliability of medical image must be ensured. As the currently international compression standard, JPEG compression is widely used in watermarking [1,2,[7][8][9]. In the watermarking field, many scholars used JPEG attacks [8][9][10]13,14,18,19,21,22].…”

Section: Gaussian Noise Attacksmentioning

confidence: 99%

“…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%

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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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Nagm

Safy²

2020

IJEECS

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Patient Data Hiding and Integrity Control Using Prediction-Based Watermarking for Brain MRI and CT Scan Images

Cited by 3 publications

References 0 publications

A robust watermarking algorithm for medical images

A robust watermarking algorithm for medical images

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

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