Digital Watermarking in Medical Images
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 (PACS) now form the information infrastructure for today’s healthcare as these provide new wa...
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2005
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my.ump.umpir.11492018-05-21T05:47:02Z http://umpir.ump.edu.my/id/eprint/1149/ Digital Watermarking in Medical Images Jasni, Mohamad Zain QA75 Electronic computers. Computer science 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 (PACS) 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. 2005-12-01 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1149/1/Jasni_thesis.pdf Jasni, Mohamad Zain (2005) Digital Watermarking in Medical Images. PhD thesis, Brunel University, West London. |
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QA75 Electronic computers. Computer science Jasni, Mohamad Zain Digital Watermarking in Medical Images |
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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 (PACS) 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.
|
format |
Thesis |
author |
Jasni, Mohamad Zain |
author_facet |
Jasni, Mohamad Zain |
author_sort |
Jasni, Mohamad Zain |
title |
Digital Watermarking in Medical Images |
title_short |
Digital Watermarking in Medical Images |
title_full |
Digital Watermarking in Medical Images |
title_fullStr |
Digital Watermarking in Medical Images |
title_full_unstemmed |
Digital Watermarking in Medical Images |
title_sort |
digital watermarking in medical images |
publishDate |
2005 |
url |
http://umpir.ump.edu.my/id/eprint/1149/1/Jasni_thesis.pdf http://umpir.ump.edu.my/id/eprint/1149/ |
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1643664336621666304 |
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13.209306 |