Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform
Abstract 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 secur...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-11-01
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| Series: | IET Biometrics |
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| Online Access: | https://doi.org/10.1049/bme2.12102 |
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| _version_ | 1832559535290580992 |
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| author | Dekai Li Yen‐wei Chen Jingbing Li Lei Cao Uzair Aslam Bhatti Pengju Zhang |
| author_facet | Dekai Li Yen‐wei Chen Jingbing Li Lei Cao Uzair Aslam Bhatti Pengju Zhang |
| author_sort | Dekai Li |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-0ccffb1a1aaf44b9908d4d71e1514379 |
| institution | Kabale University |
| issn | 2047-4938 2047-4946 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Biometrics |
| spelling | doaj-art-0ccffb1a1aaf44b9908d4d71e15143792025-02-03T01:29:42ZengWileyIET Biometrics2047-49382047-49462022-11-0111653454610.1049/bme2.12102Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transformDekai Li0Yen‐wei Chen1Jingbing Li2Lei Cao3Uzair Aslam Bhatti4Pengju Zhang5School of Information and Communication Engineering Hainan University Haikou ChinaGraduate School of Information Science and Engineering Ritsumeikan University Shiga JapanSchool of Information and Communication Engineering Hainan University Haikou ChinaSchool of Information and Communication Engineering Hainan University Haikou ChinaSchool of Information and Communication Engineering Hainan University Haikou ChinaSchool of Information and Communication Engineering Hainan University Haikou ChinaAbstract 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.https://doi.org/10.1049/bme2.12102AKAZE‐DCTlogistic chaosmedical imagesperceptual hashingzero‐watermarking |
| spellingShingle | Dekai Li Yen‐wei Chen Jingbing Li Lei Cao Uzair Aslam Bhatti Pengju Zhang Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform IET Biometrics AKAZE‐DCT logistic chaos medical images perceptual hashing zero‐watermarking |
| title | Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform |
| title_full | Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform |
| title_fullStr | Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform |
| title_full_unstemmed | Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform |
| title_short | Robust watermarking algorithm for medical images based on accelerated‐KAZE discrete cosine transform |
| title_sort | robust watermarking algorithm for medical images based on accelerated kaze discrete cosine transform |
| topic | AKAZE‐DCT logistic chaos medical images perceptual hashing zero‐watermarking |
| url | https://doi.org/10.1049/bme2.12102 |
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