Medical Images Watermarking for Security in m-Health: Implementation on Smartphone Android OS

Medical data (imaging or report) are personnel information which
are relative to the patient where this information is a medical secret.
Therefore, in this paper, a new security system for medical
imaging dedicated for m-Health is presented which is based on the
high capacity robust/fragile blind watermarking of audio report in
medical imaging. The audio signal is transformed with the
decomposition by wavelet transform, then, we insert the
normalized low coefficients of the transformed audio signal in
spatial space of medical imaging to watermarked. After extraction,
the imaging integrity is checked by analyzing the extracted audio.
The imaging authentication is done by the robustness of
watermarking against the different types of attack. The security of
audio signal is done using an insertion key. The proposed
algorithm is implemented on Smartphone android system, so,
activities are built using XML script and Java for input speech of
doctor, the insertion of this audio in medical imaging, and the
extraction of an audio from a watermarked imaging. The objective
of the paper is to concept a high capacity watermarking method
which can store all audio report size. with an imperceptible
watermark and an acceptable watermarked imaging quality and the
system must be available in mobile Health system.