A Robust Zero-Watermarkinging Algorithm Based on PHTs-DCT for Medical Images in the Encrypted Domain

Dan, Yi; Li, Jingbing; Fang, Yangxiu; Cui, Wenfeng; Xiao, Xinping; Bhatti, Uzair Aslam; Han, Baoru

doi:10.1007/978-981-16-3013-2_9

Cited by 18 publications

(15 citation statements)

References 18 publications

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“…In order to better demonstrate the strong robustness of the AKAZE‐DCT algorithm, the algorithm is compared with the KAZE‐DCT algorithm, SIFT‐DCT algorithm, PHTs‐DCT algorithm and DCT algorithm in the face of different attacks [21–23]. As shown in Table 11 and Figure 13, red represents DCT, green represents KAZE‐DCT, blue represents SIFT‐DCT, cyan represents PHTs‐DCT and black represents the AKAZE‐DCT proposed in this paper.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…In order to better demonstrate the strong robustness of the AKAZE-DCT algorithm, the algorithm is compared with the KAZE-DCT algorithm, SIFT-DCT algorithm, PHTs-DCT algorithm and DCT algorithm in the face of different attacks [21][22][23]. As shown in Table 11 and Figure and PHTs-DCT, AKAZE-DCT shows better robustness overall, both for conventional and geometric attacks.…”

Section: Comparison With Other Algorithmsmentioning

confidence: 99%

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Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform

Chen

et al. 2022

IET Biometrics

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With the continuous progress and development in the field of Internet technology, the area of medical image processing has also developed along with it. Specially, digital watermarking technology plays an essential role in the field of medical image processing and greatly improves the security of medical image information. A medical image watermarking algorithm based on an accelerated‐KAZE discrete cosine transform (AKAZE‐DCT) is proposed to address the poor robustness of medical image watermarking algorithms to geometric attacks, which leads to low security of the information contained in medical images. First, the AKAZE‐DCT algorithm is used to extract the feature vector of the medical image and then combined with the perceptual hashing technique to obtain the feature sequence of the medical image; then, the watermarking image is encrypted with logistic chaos dislocation to get the encrypted watermarking image, which ensures the security of the watermarking information; finally, the watermarking is embedded and extracted with the zero‐watermarking technique. The experimental results show that the algorithm can effectively extract the watermark under conventional and geometric attacks, reflecting better robustness and invisibility, and has certain practicality in the medical field compared with other algorithms.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Comparison With Other Algorithmsmentioning

confidence: 99%

Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform

Chen

et al. 2022

IET Biometrics

Self Cite

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show abstract

“…The comparison results are shown in Table 15. As can be seen from the table, for nongeometric attacks, such as Gaussian noise and JPEG compression (the attack intensity of the two is 5%), the performance of the proposed algorithm is slightly lower than that of the algorithm proposed by others in Table 15 [29][30][31][32], but the NC value of the two kinds of attacks is more than 0.5, which shows that the algorithm is robust.…”

Section: Translation Attackmentioning

confidence: 86%

“…When the rotation angle reaches 20°, the NC values of the algorithm [29,30] are 0.79 and 0.53 respectively. In this paper, it is proposed that the clockwise rotation angle of the algorithm can reach 80°, which is much higher than that of the algorithm [29][30][31][32]. For the downward translation attack with 15% attack intensity, the NC values of algorithm [30] and algorithm [32] are 0.61, 0.90 respectively, and the proposed algorithm NC is 0.91.…”

Section: Translation Attackmentioning

confidence: 99%

“…In this paper, it is proposed that the clockwise rotation angle of the algorithm can reach 80°, which is much higher than that of the algorithm [29][30][31][32]. For the downward translation attack with 15% attack intensity, the NC values of algorithm [30] and algorithm [32] are 0.61, 0.90 respectively, and the proposed algorithm NC is 0.91. For the left translation attack with 10% attack intensity, the NC value of the algorithm [29] is 0.63, and the proposed algorithm NC is 0.87.…”

Section: Translation Attackmentioning

confidence: 99%

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Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Sheng¹,

Li²,

Bhatti³

et al. 2023

Computers, Materials &Amp; Continua

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Medical images are used as a diagnostic tool, so protecting their confidentiality has long been a topic of study. From this, we propose a Resnet50-DCT-based zero watermarking algorithm for use with medical images. To begin, we use Resnet50, a pre-training network, to draw out the deep features of medical images. Then the deep features are transformed by DCT transform and the perceptual hash function is used to generate the feature vector. The original watermark is chaotic scrambled to get the encrypted watermark, and the watermark information is embedded into the original medical image by XOR operation, and the logical key vector is obtained and saved at the same time. Similarly, the same feature extraction method is used to extract the deep features of the medical image to be tested and generate the feature vector. Later, the XOR operation is carried out between the feature vector and the logical key vector, and the encrypted watermark is extracted and decrypted to get the restored watermark; the normalized correlation coefficient (NC) of the original watermark and the restored watermark is calculated to determine the ownership and watermark information of the medical image to be tested. After calculation, most of the NC values are greater than 0.50. The experimental results demonstrate the algorithm's robustness, invisibility, and security, as well as its ability to accurately extract watermark information. The algorithm also shows good resistance to conventional attacks and geometric attacks.

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Exploring employees’ beliefs regarding the potential benefits of virtual worlds for group cohesion: gather town

Palos-Sánchez

Baena‐Luna

Silva-O'Connor

2022

Multimed Tools Appl

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As a consequence of advances in Information and Communication Technologies, teleworking is becoming more and more common in organizations. These new ways of working create new challenges for companies such as team cohesion despite working in different locations. This article aims to analyze the effect of the use of so-called “virtual worlds” on the group cohesion of employees in organizations. The focus group methodology has made it possible to gather the beliefs and opinions of company employees about the use of these resources and tools. The results obtained show the positive effect of the use of virtual worlds on the cohesion of the teleworking team.

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A Robust Zero-Watermarkinging Algorithm Based on PHTs-DCT for Medical Images in the Encrypted Domain

Cited by 18 publications

References 18 publications

Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform

Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform

Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

Exploring employees’ beliefs regarding the potential benefits of virtual worlds for group cohesion: gather town

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