Robust and fragile watermarking for medical imaging

Bowen Meng, Xiaochen Yuan

研究成果: Conference contribution同行評審

摘要

In the rapidly evolving landscape of smart healthcare systems, the secure transmission and robust integrity of Electronic Patient Records (EPR) are of utmost importance. Digital watermarking has been a reliable method for preserving the authenticity of digital images, but the challenge of ensuring the security and confidentiality of patient data in medical imaging persists. This paper introduces a data hiding scheme for medical images, incorporating a fragile watermarking technique using Least Significant Bit (LSB), as well as robust watermarking using Discrete Wavelet Transform (DWT). The intensity-based image segmentation method is employed to select the Region of Non-Interest (RONI) for embedding the data and watermark. The unique contribution of this research is the application of both fragile and robust watermarking techniques in one image while maintaining losslessness in the Region of Interest (ROI), enabling tamper detection. Experiments conducted on The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD) demonstrate the improved performance of the proposed method in terms of security, authenticity, and integrity while maintaining the quality of medical images. This research represents a significant stride towards a more secure and efficient approach to safeguarding patient data in medical imaging.

原文English
主出版物標題Sixteenth International Conference on Signal Processing Systems, ICSPS 2024
編輯Robert Minasian, Li Chai
發行者SPIE
ISBN(電子)9781510689251
DOIs
出版狀態Published - 2025
事件16th International Conference on Signal Processing Systems, ICSPS 2024 - Kunming, China
持續時間: 15 11月 202417 11月 2024

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
13559
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

Conference16th International Conference on Signal Processing Systems, ICSPS 2024
國家/地區China
城市Kunming
期間15/11/2417/11/24

指紋

深入研究「Robust and fragile watermarking for medical imaging」主題。共同形成了獨特的指紋。

引用此