Medical Image Key Area Protection Scheme Based on QR Code and Reversible Data Hiding
Author(s) -
Zelin Zhang,
Jian Xu,
Bin Ma,
Chunpeng Wang,
Jian Li,
Yuli Wang
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/5511806
Subject(s) - computer science , information hiding , key (lock) , code (set theory) , image (mathematics) , secure transmission , encoding (memory) , computer vision , artificial intelligence , encryption , computer security , set (abstract data type) , programming language
Medical image data, like most patient information, has high requirements for privacy and confidentiality. To improve the security of medical image transmission within the open network, we proposed a medical image key area protection algorithm based on reversible data hiding. First, the coefficient of variation is used to identify the key area, that is, the lesion area of the image. Then, the other regions are divided into blocks to analyze the texture complexity. Next, we propose a new reversible data hiding algorithm, which embeds the content of the key area into the high-texture regions. On this basis, a quick response (QR) code is generated using the ciphertext of the basic image information to replace the original lesion area. Experimental results show that this method can not only safely transmit sensitive patient information by hiding the content of the lesion, it can also store copyright information through QR code and achieve accurate image retrieval.
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