Medical image watermarked by simultaneous moment invariants and content-based for privacy and tamper detection

Authors:
Y. I. Khamlichi;M. Machkour;K. Afdel;A. Moudden
Affiliations:
Department of Physic, Faculty of Science, Metrology and Information Processing Laboratory, University Ibn Zohr of Agadir, Faculty of Science, Agadir, Morocco;Department of Physic, Faculty of Science, Metrology and Information Processing Laboratory, University Ibn Zohr of Agadir, Faculty of Science, Agadir, Morocco;Department of Physic, Faculty of Science, Metrology and Information Processing Laboratory, University Ibn Zohr of Agadir, Faculty of Science, Agadir, Morocco;Department of Physic, Faculty of Science, Metrology and Information Processing Laboratory, University Ibn Zohr of Agadir, Faculty of Science, Agadir, Morocco
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

Citing 1
Cited 1

Digital watermarking

Digital watermarking

A novel blind digital watermarking technique for Stegano-encrypting information using nine-ac-coefficient prediction algorithm with an innovative security strategy

WSEAS Transactions on Signal Processing

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Abstract

Confidentiality is an ethical necessity in health care. As for teleconsulting and telediagnosis, the use of multimedia technologies for telemedicine purposes is now gaining the ground all over the world. The progress increased however the risk of violation of the authenticity and integrity of the patient's records as the circulation of data via Internet is hard to control. In this paper we suggest using watermarking techniques using simultaneous content-based and moment invariant methods as a complementary safety measure. Content-based techniques have proven to be useful in detecting possible alteration in the temperate region of the image-based data while invariant methods are now widely used for pint pointing changes in the medical imagery.