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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...

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Detalles Bibliográficos
Autores principales: Sun, Tiankai, Wang, Xingyuan, Zhang, Kejun, Jiang, Daihong, Lin, Da, Jv, Xunguang, Ding, Bin, Zhu, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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