TY - GEN
T1 - A Self-Adaptive Image Segmentation-Based Dual Watermarking Technique for Medical Images
AU - Meng, Bowen
AU - Yuan, Xiaochen
AU - Wang, Fan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The smart healthcare system plays a more critical role than ever before. It is designed to share electronic patient records (EPR) to improve medical care and facilitate research. However, protecting the security of EPR data is still a significant challenge. This paper proposes a new method for safeguarding EPR data in such systems. The method is a self-adaptive image segmentation-based dual watermarking technique that embeds both EPR data and authentication information in the wavelet domain of selected region of non-interest (RONI) for enhanced security, imperceptibility, and robustness. The experiments are based on a large dataset of medical data, The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD). The results found that the method is effective for the smart healthcare system. Compared with existing techniques, the proposed approach is better regarding security, robustness, and capacity.
AB - The smart healthcare system plays a more critical role than ever before. It is designed to share electronic patient records (EPR) to improve medical care and facilitate research. However, protecting the security of EPR data is still a significant challenge. This paper proposes a new method for safeguarding EPR data in such systems. The method is a self-adaptive image segmentation-based dual watermarking technique that embeds both EPR data and authentication information in the wavelet domain of selected region of non-interest (RONI) for enhanced security, imperceptibility, and robustness. The experiments are based on a large dataset of medical data, The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD). The results found that the method is effective for the smart healthcare system. Compared with existing techniques, the proposed approach is better regarding security, robustness, and capacity.
KW - discrete wave transformation
KW - dual watermarking
KW - image segmentation
KW - medical image
KW - singular value decomposition
UR - http://www.scopus.com/inward/record.url?scp=85174695068&partnerID=8YFLogxK
U2 - 10.1109/ICSIP57908.2023.10270887
DO - 10.1109/ICSIP57908.2023.10270887
M3 - Conference contribution
AN - SCOPUS:85174695068
T3 - 2023 8th International Conference on Signal and Image Processing, ICSIP 2023
SP - 166
EP - 170
BT - 2023 8th International Conference on Signal and Image Processing, ICSIP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Signal and Image Processing, ICSIP 2023
Y2 - 8 July 2023 through 10 July 2023
ER -
