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Proceedings Paper

Secure annotation for medical images based on reversible watermarking in the Integer Fibonacci-Haar transform domain
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Paper Abstract

The increasing use of digital image-based applications is resulting in huge databases that are often difficult to use and prone to misuse and privacy concerns. These issues are especially crucial in medical applications. The most commonly adopted solution is the encryption of both the image and the patient data in separate files that are then linked. This practice results to be inefficient since, in order to retrieve patient data or analysis details, it is necessary to decrypt both files. In this contribution, an alternative solution for secure medical image annotation is presented. The proposed framework is based on the joint use of a key-dependent wavelet transform, the Integer Fibonacci-Haar transform, of a secure cryptographic scheme, and of a reversible watermarking scheme. The system allows: i) the insertion of the patient data into the encrypted image without requiring the knowledge of the original image, ii) the encryption of annotated images without causing loss in the embedded information, and iii) due to the complete reversibility of the process, it allows recovering the original image after the mark removal. Experimental results show the effectiveness of the proposed scheme.

Paper Details

Date Published: 4 February 2011
PDF: 10 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78700G (4 February 2011); doi: 10.1117/12.876631
Show Author Affiliations
F. Battisti, Univ. degli Studi di Roma Tre (Italy)
M. Carli, Univ. degli Studi di Roma Tre (Italy)
A. Neri, Univ. degli Studi di Roma Tre (Italy)


Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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