Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Sixteenth International Conference on Signal Processing Systems, ICSPS 2024 |
| Editors | Robert Minasian, Li Chai |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510689251 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 16th International Conference on Signal Processing Systems, ICSPS 2024 - Kunming, China Duration: 15 Nov 2024 → 17 Nov 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13559 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 16th International Conference on Signal Processing Systems, ICSPS 2024 |
|---|---|
| Country/Territory | China |
| City | Kunming |
| Period | 15/11/24 → 17/11/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Fragile watermark
- Medical image watermarking
- Robust watermark
- Tamper localization
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