Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4978
Title: Digital watermarking in medical images
Authors: Zain, Jasni Mohamad
Advisors: Clarke, M
Paul, R
Baldwin, LP
Keywords: Strict authentication watermarking (SAW);Image integrity;Region of interest (ROI);Strict Authentication Watermarking with JPEG Compression (SAW-JPEG);Authentication Watermarking with Tamper Detection and Recovery (AW-TDR)
Issue Date: 2005
Publisher: Brunel University, School of Information Systems, Computing and Mathematics
Abstract: This thesis addresses authenticity and integrity of medical images using watermarking. Hospital Information Systems (HIS), Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (P ACS) now form the information infrastructure for today's healthcare as these provide new ways to store, access and distribute medical data that also involve some security risk. Watermarking can be seen as an additional tool for security measures. As the medical tradition is very strict with the quality of biomedical images, the watermarking method must be reversible or if not, region of Interest (ROI) needs to be defined and left intact. Watermarking should also serve as an integrity control and should be able to authenticate the medical image. Three watermarking techniques were proposed. First, Strict Authentication Watermarking (SAW) embeds the digital signature of the image in the ROI and the image can be reverted back to its original value bit by bit if required. Second, Strict Authentication Watermarking with JPEG Compression (SAW-JPEG) uses the same principal as SAW, but is able to survive some degree of JPEG compression. Third, Authentication Watermarking with Tamper Detection and Recovery (AW-TDR) is able to localise tampering, whilst simultaneously reconstructing the original image.
Description: This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 05/12/2005.
URI: http://bura.brunel.ac.uk/handle/2438/4978
Appears in Collections:Computer Science
Dept of Computer Science Theses

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