Mixed Reversible and RONI Watermarking for Medical Image Reliability Protection

By attaching image authenticity and integrity proofs directly at the pixels level of an image, watermarking can help to raise up medical image protection. However, because of the induced distortions, specific schemes like lossless data hiding or watermarking regions of non interest (RONI) have been proposed to guarantee the preservation of the image interpretation. In this article, we propose an image reliability protection mechanism which combines advantages of both lossless and RONI approaches in order to provide a better and continuous protection. The proposed system was applied to magnetic resonance images of the head. Experimental results illustrate the overall functionality of the system.

[1]  G. Coatrieux,et al.  A Review of Image Watermarking Applications in Healthcare , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  H. K. Huang,et al.  Authenticity and integrity of digital mammographic images , 1999, Medical Imaging.

[3]  C. Roux,et al.  A Low Distorsion and Reversible Watermark: Application to Angiographic Images of the Retina , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[4]  Euclid Seeram,et al.  Irreversible compression in digital radiology. A literature review , 2006 .

[5]  Christophe De Vleeschouwer,et al.  Circular interpretation of bijective transformations in lossless watermarking for media asset management , 2003, IEEE Trans. Multim..

[6]  Pierre Moulin,et al.  Data-Hiding Codes , 2005, Proceedings of the IEEE.

[7]  Sotiris Pavlopoulos,et al.  Multiple Image Watermarking Applied to Health Information Management , 2006, IEEE Transactions on Information Technology in Biomedicine.

[8]  Bülent Sankur,et al.  Strict integrity control of biomedical images , 2001, IS&T/SPIE Electronic Imaging.

[9]  H. K. Huang,et al.  Authenticity and integrity of digital mammography images , 2001, IEEE Transactions on Medical Imaging.

[10]  Frank Y. Shih,et al.  Robust watermarking and compression for medical images based on genetic algorithms , 2005, Inf. Sci..