TY - JOUR
T1 - Hiding patients’ medical reports using an enhanced wavelet steganography algorithm in DICOM images
AU - Ahmad, Mostafa A.
AU - Elloumi, Mourad
AU - Samak, Ahmed H.
AU - Al-Sharafi, Ali M.
AU - Alqazzaz, Ali
AU - Kaid, Monir Abdullah
AU - Iliopoulos, Costas
N1 - Funding Information:
The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (UB-07-1442).
Publisher Copyright:
© 2022 THE AUTHORS
PY - 2022/12
Y1 - 2022/12
N2 - In the latest years, there is an increasing emphasis on DICOM medical images, especially in digital medical images transmission to e-health services. Besides, the confidentiality and protection of patients’ secure information need more attention and research. In this paper, we propose an enhanced medical image steganographic algorithm to hide patients’ secure information in their medical images. The proposed algorithm has a higher level of confidentiality while maintaining a higher quality of the medical image and a higher embedding capacity and robustness. The proposed algorithm has two main steps. The medical cover image is decomposed using an integer wavelet filter in the first step. Moreover, the patients’ confidential information is processed using the Arithmetic Coding (AC) and Data Encryption Standard (DES) algorithms to be compressed and encrypted before of the embedding process. In the second step, the insignificant coefficients are selected from the integer wavelet high-frequency subbands of the transformed medical image, and finally, both the target cover bits and the secret bits are grouped during the injection process. The performance of our algorithm was evaluated using different evaluation metrics. The obtained results show that our algorithm outperforms existing ones, with a higher embedding capacity, and a lower imperceptibility. The proposed algorithm can be applied in hospitals and health care canters worldwide.
AB - In the latest years, there is an increasing emphasis on DICOM medical images, especially in digital medical images transmission to e-health services. Besides, the confidentiality and protection of patients’ secure information need more attention and research. In this paper, we propose an enhanced medical image steganographic algorithm to hide patients’ secure information in their medical images. The proposed algorithm has a higher level of confidentiality while maintaining a higher quality of the medical image and a higher embedding capacity and robustness. The proposed algorithm has two main steps. The medical cover image is decomposed using an integer wavelet filter in the first step. Moreover, the patients’ confidential information is processed using the Arithmetic Coding (AC) and Data Encryption Standard (DES) algorithms to be compressed and encrypted before of the embedding process. In the second step, the insignificant coefficients are selected from the integer wavelet high-frequency subbands of the transformed medical image, and finally, both the target cover bits and the secret bits are grouped during the injection process. The performance of our algorithm was evaluated using different evaluation metrics. The obtained results show that our algorithm outperforms existing ones, with a higher embedding capacity, and a lower imperceptibility. The proposed algorithm can be applied in hospitals and health care canters worldwide.
KW - Image steganography
KW - Integer wavelet transform
KW - Medical images
KW - Patients’ secret medical reports
UR - http://www.scopus.com/inward/record.url?scp=85128367274&partnerID=8YFLogxK
U2 - 10.1016/j.aej.2022.03.056
DO - 10.1016/j.aej.2022.03.056
M3 - Article
AN - SCOPUS:85128367274
SN - 1110-0168
VL - 61
SP - 10577
EP - 10592
JO - Alexandria Engineering Journal
JF - Alexandria Engineering Journal
IS - 12
ER -