LSB WATERMARKING THESIS

Watermarking tech- nology can be categorized into robust, fragile and semi-fragile watermarking, each serving for different purposes. The method takes advantage of block based watermarking and iterative optimization of threshold for companding, which avoids histogram pre and post-processing. Secondly, we select the salient regions in the normalized image based on feature points detected by Harris corner detector. Insurance companies, hospitals as well as patients might want to modify the medical images for a number of reasons. Welcome to Pakistan Research Repository We thus address the issue of tolerating affine transformations in medical images that is hardly be found in existing schemes of medical image watermarking. One of the examples is in the area of medical applications, where traditional diagnosis is being replaced by e-diagnosis.

The method takes advantage of block based watermarking and iterative optimization of threshold for companding, which avoids histogram pre and post-processing. However, digital form of medical image can easily be manipulated through image processing softwares. 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. We thus address the issue of tolerating affine transformations in medical images that is hardly be found in existing schemes of medical image watermarking. 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 objective of this dissertation is to investigate how to protect a medical images, thexis tampered images and recover the original image using the technique of Digital Watermarking. Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated. This paradigm gave birth to number of applications in healthcare industry like teleconsulting, telesurgery and telediagnosis. However, digital form of medical image can easily be manipulated through image processing softwares.

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Secondly, we select the salient regions in the normalized image based on feature points detected by Harris corner detector.

We thus address the issue of tolerating affine transformations in medical images that is hardly be found in existing schemes of medical image watermarking. Watermarking tech- nology can be categorized into robust, fragile and semi-fragile watermarking, each serving for different purposes. The method utilizes the spatial domain watermarking and least significant bit LSB replacement method for embedding the watermark. Welcome to Pakistan Research Repository The system first enhances the embedding watermarkkng 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.

Consequently, it reduces the associated overhead usually required in most of the reversible watermarking techniques. Please use this identifier to cite or link to this item: In the proposed method we firstly normalize the medical image using image moments in order to make it invariant against geometric transformations.

Insurance companies, hospitals as well as patients might want to modify the medical images for a number of reasons. watermarkiny

Digital Image Watermarking Using LSB Method – eTheses

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. Show full item record.

Experimental results reveal that the proposed system detects both legitimate and illegitimate distortions. Satermarking results show that the proposed method outperforms the existing reversible data hiding schemes reported in the literature. The proposed system authenticates the computed tomography CT scan medical images of thorax area against different distortions.

lsb watermarking thesis

In the lsv part of this dissertation, we design a fragile watermarking system for the exact authentication of medical images. 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.

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lsb watermarking thesis

Secondly it embeds watermark only in region of non interest RONIthus not compromising the diagnosis value of medical image.

The scheme is completely blind, that it does not require the original image to detect the watermark. Watermarking is performed in Discrete Cosine Transform DCT domain of salient regions by adapting block based embedding.

Digital Image Watermarking Using LSB Method

The tampered images may be used for illegal purposes. One of the examples is in the area of medical applications, where traditional diagnosis is being replaced by e-diagnosis. Robust watermarks are well suited for copyright protection because they stay intact with the image under various thewis.

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. Due to development of latest technologies in the areas of communication and computer networks, present businesses are moving to the digital world for effectiveness, convenience and security.

In third part of the dissertation, we investigate the complete reversible watermarking system.

lsb watermarking thesis

As a result, it keeps the distortion small between the marked and the original images. 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. The method takes advantage of block based watermarking and iterative optimization of threshold for companding, which avoids histogram pre and post-processing.

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