The first 50 years of electronic watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Digital Watermaking for ROI Medical Images by Using Compresses Signature Image
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6 - Volume 6
Digital Image Watermarking: An Overview
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Lossless ROI Medical Image Watermarking Technique with Enhanced Security and High Payload Embedding
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Hybrid contourlet-DCT based robust image watermarking technique applied to medical data management
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
A contextual based double watermarking of PET images by patient ID and ECG signal
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine
Compact storage of medical images with patient information
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Multiple Image Watermarking Applied to Health Information Management
IEEE Transactions on Information Technology in Biomedicine
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A HIPAA-compliant key management scheme with revocation of authorization
Computer Methods and Programs in Biomedicine
Hi-index | 0.00 |
In this article, we have proposed a blind, fragile and Region of Interest (ROI) lossless medical image watermarking (MIW) technique, providing an all-in-one solution tool to various medical data distribution and management issues like security, content authentication, safe archiving, controlled access retrieval, and captioning. The proposed scheme combines lossless data compression and encryption technique to embed electronic health record (EHR)/DICOM metadata, image hash, indexing keyword, doctor identification code and tamper localization information in the medical images. Extensive experiments (both subjective and objective) were carried out to evaluate performance of the proposed MIW technique. The findings offer suggestive evidence that the proposed MIW scheme is an effective all-in-one solution tool to various issues of medical information management domain. Moreover, given its relative simplicity, the proposed scheme can be applied to the medical images to serve in many medical applications concerned with privacy protection, safety, and management.