Paper Info
Title
Secure Annotation For Medical Images Based On Reversible Watermarking In The Integer Fibonacci-Haar Transform Domain
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.
Year
DOI
Venue
2011
10.1117/12.876631
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS IX
Keywords
Field
DocType
Integer Fibonacci-Haar transform, Reversible watermarking, Data Hiding
Data mining,Digital watermarking,Cryptography,Information hiding,Theoretical computer science,Encryption,Digital image,Artificial intelligence,Wavelet transform,Computer vision,Automatic image annotation,Annotation,Physics
Conference
Volume
ISSN
Citations 
7870
0277-786X
4
PageRank 
References 
Authors
0.41
9
3
Name
Order
Citations
PageRank
Federica Battisti129325.35
Marco Carli225228.85
A Neri367972.31