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Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy
The transmission of digital medical information is affected by data compression, noise, scaling, labeling, and other factors. At the same time, medical data may be illegally copied and maliciously tampered with without authorization. Therefore, the copyright protection and integrity authentication o...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223134/ https://www.ncbi.nlm.nih.gov/pubmed/35741519 http://dx.doi.org/10.3390/e24060798 |
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author | Sun, Tiankai Wang, Xingyuan Zhang, Kejun Jiang, Daihong Lin, Da Jv, Xunguang Ding, Bin Zhu, Weidong |
author_facet | Sun, Tiankai Wang, Xingyuan Zhang, Kejun Jiang, Daihong Lin, Da Jv, Xunguang Ding, Bin Zhu, Weidong |
author_sort | Sun, Tiankai |
collection | PubMed |
description | The transmission of digital medical information is affected by data compression, noise, scaling, labeling, and other factors. At the same time, medical data may be illegally copied and maliciously tampered with without authorization. Therefore, the copyright protection and integrity authentication of medical information are worthy of attention. In this paper, based on the wavelet packet and energy entropy, a new method of medical image authentication is designed. The proposed method uses the sliding window to measure the energy of the detail information. In the time–frequency data distribution, the local details of the data are mined. The complexity of energy is quantitatively described to highlight the valuable information. Based on the energy weight, the local energy entropy is constructed and normalized. The adjusted entropy value is used as the feature vector of the authentication information. A series of experiments show that the authentication method has good robustness against shearing attacks, median filtering, contrast enhancement, brightness enhancement, salt-and-pepper noise, Gaussian noise, multiplicative noise, image rotation, scaling attacks, sharpening, JPEG compression, and other attacks. |
format | Online Article Text |
id | pubmed-9223134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92231342022-06-24 Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy Sun, Tiankai Wang, Xingyuan Zhang, Kejun Jiang, Daihong Lin, Da Jv, Xunguang Ding, Bin Zhu, Weidong Entropy (Basel) Article The transmission of digital medical information is affected by data compression, noise, scaling, labeling, and other factors. At the same time, medical data may be illegally copied and maliciously tampered with without authorization. Therefore, the copyright protection and integrity authentication of medical information are worthy of attention. In this paper, based on the wavelet packet and energy entropy, a new method of medical image authentication is designed. The proposed method uses the sliding window to measure the energy of the detail information. In the time–frequency data distribution, the local details of the data are mined. The complexity of energy is quantitatively described to highlight the valuable information. Based on the energy weight, the local energy entropy is constructed and normalized. The adjusted entropy value is used as the feature vector of the authentication information. A series of experiments show that the authentication method has good robustness against shearing attacks, median filtering, contrast enhancement, brightness enhancement, salt-and-pepper noise, Gaussian noise, multiplicative noise, image rotation, scaling attacks, sharpening, JPEG compression, and other attacks. MDPI 2022-06-08 /pmc/articles/PMC9223134/ /pubmed/35741519 http://dx.doi.org/10.3390/e24060798 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Tiankai Wang, Xingyuan Zhang, Kejun Jiang, Daihong Lin, Da Jv, Xunguang Ding, Bin Zhu, Weidong Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title | Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title_full | Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title_fullStr | Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title_full_unstemmed | Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title_short | Medical Image Authentication Method Based on the Wavelet Packet and Energy Entropy |
title_sort | medical image authentication method based on the wavelet packet and energy entropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223134/ https://www.ncbi.nlm.nih.gov/pubmed/35741519 http://dx.doi.org/10.3390/e24060798 |
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