Abstract: Due to development
of latest technologies in the areas of communication and computer
networks, present businesses are moving to the digital world for e
ectiveness, convenience and security. One of the examples is in the
area of medical applications, where traditional diagnosis is being
replaced by e-diagnosis. This paradigm gave birth to number of
applications in healthcare industry like teleconsulting, telesurgery
and telediagnosis. All these applications require the exchange of
medical images in digital format from one geographical location to
another throughout the globe via a cheap and fast network such as
Internet. However, digital form of medical image can easily be
manipulated through image processing softwares.Insurance companies,
hospitals as well as patients might want to modify the medical
images for a number of reasons. The tampered images may be used for
illegal purposes.
The objective of this dissertation is to investigate how to protect
a medical images, detect tampered images and recover the original
image using the technique of Digital Watermarking. Watermarking
tech- nology can be categorized into robust, fragile and
semi-fragile watermarking, each serving for di erent purposes. In
order to facilitate sharing and remote handling of medical images,
we propose techniques to solve the problem of copyright protection
and content authentication using robust and fragile watermarking
respectively.
In the rst part of this dissertation, we design a fragile
watermarking system for the exact authentication of medical images.
The proposed system authenticates the computed tomography (CT) scan
medical images of thorax area against di erent distortions. The
system rst enhances the embedding capacity of a CT scan image by
isolating the actual lung parenchyma unlike classical watermarking
techniques, which use logical square or ellipse for isolating region
of interest (ROI). Secondly it embeds watermark only in region of
non interest (RONI), thus not compromising the diagnosis value of
medical image. The method utilizes the spatial domain watermarking
and least signi cant bit (LSB) replacement method for embedding the
watermark. Experimental results reveal that the proposed system
detects both legitimate and illegitimate distortions.
Robust watermarks are well suited for copyright protection because
they stay intact with the image under various manipulations. In the
second part of the dissertation, we investigate an approach of
robust watermarking for protection of medical images which ensures
the security of medical images against geomet- rical distortions. In
the proposed method we rstly normalize the medical image using image
moments in order to make it invariant against geometric
transformations. Secondly, we select the salient regions in the
normalized image based on feature points detected by Harris corner
detector. Watermarking is performed in Discrete Cosine Transform (DCT)
domain of salient regions by adapting block based embedding. The
scheme is completely blind, that it does not require the original
image to detect the watermark. We thus address the issue of
tolerating a ne transformations in medical images that is hardly be
found in existing schemes of medical image watermarking.
In third part of the dissertation, we investigate the complete
reversible watermarking system. The proposed method uses integer
wavelet transform and companding technique which can embed and
recover the secret information as well as can restore the image to
its pristine state. The method takes advantage of block based
watermarking and iterative optimization of threshold for companding,
which avoids histogram pre and post-processing. Consequently, it
reduces the associated overhead usually required in most of the
reversible watermarking techniques. As a result, it keeps the
distortion small between the marked and the original images.
Experimental results show that the proposed method outperforms the
existing reversible data hiding schemes reported in the literature.