LSB WATERMARKING THESIS

Secondly, we select the salient regions in the normalized image based on feature points detected by Harris corner detector. The method utilizes the spatial domain watermarking and least significant bit LSB replacement method for embedding the watermark. The system first 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. 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. 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 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.

Watermarking tech- nology can be categorized into robust, fragile and semi-fragile watermarking, each serving for different 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. The tampered images may be used for illegal purposes. Experimental results show that the proposed method outperforms the existing reversible data hiding schemes reported in the literature. The method utilizes the spatial domain watermarking and least significant bit LSB replacement method for embedding the watermark. Secondly it embeds watermark only in region of non interest RONI , thus not compromising the diagnosis value of medical image.

Digital Image Watermarking Using LSB Method – eTheses

Experimental results show that the proposed method outperforms the existing reversible data hiding schemes reported in the literature. Robust watermarks are well suited for copyright protection because they stay intact with the image under various manipulations. One of the examples is in the area of medical applications, where traditional diagnosis is being replaced by e-diagnosis.

  DISSERTATION SUR LE BILAN DE LA 1ERE GUERRE MONDIALE

As a result, it keeps the distortion small between the marked and the original images. In the second part of the dissertation, wtermarking investigate an approach of robust watermarking for protection of medical images which ensures the security of medical images against geomet- rical distortions. Experimental results reveal that the proposed system detects both legitimate and illegitimate distortions.

Watermarking is performed in Discrete Cosine Transform DCT domain of salient regions by adapting block based embedding. The method utilizes the spatial domain watermarking and least significant bit LSB replacement method for embedding the watermark.

lsb watermarking thesis

Please use this identifier to cite or link to this thezis Show full item record. Secondly it embeds watermark only in region of non interest RONIthus not compromising the diagnosis value of medical image.

Digital Image Watermarking Using LSB Method

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

Consequently, it reduces the associated lsg usually required in most of the thesiz watermarking techniques. Watermarking tech- nology can be categorized into robust, fragile and semi-fragile watermarking, each serving for different purposes.

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. 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.

We thus address the issue of tolerating affine transformations watermarkin medical images that is hardly be found in existing schemes of medical image watermarking.

  ESSAY MODERNISASI ALUTSISTA TNI AD

Welcome to Pakistan Research Repository 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.

The system first enhances the embedding capacity of a Watermarkibg scan image by isolating the wxtermarking lung parenchyma unlike classical watermarking techniques, which use logical square or ellipse for isolating region of interest ROI. This paradigm gave birth to number of applications in healthcare industry like teleconsulting, telesurgery and telediagnosis. Items in DSpace are protected by copyright, with water,arking rights reserved, unless otherwise indicated.

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. The scheme is completely blind, that it does not require the original image to detect the watermark.

lsb watermarking thesis

However, digital form of medical image can easily be manipulated through image processing softwares. In the proposed method we firstly normalize the medical image using image moments in order to make it invariant against geometric transformations.

lsb watermarking thesis

The method takes advantage of block based watermarking and iterative optimization of threshold for companding, which avoids histogram pre and post-processing.

The tampered images may watermarklng used for illegal purposes. The proposed system authenticates the computed tomography CT scan medical images of thorax area against different distortions. In third part of the dissertation, we investigate the complete reversible watermarking system. In the first part of this dissertation, we design a fragile watermarking system for the exact authentication of medical images.

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

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