Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity

Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity

This research is proposed the watermarking scheme in tamper localization which is able to detect the location of the manipulated areas and verify the authentic by using the block average intensity. The watermark data for ROI will store in the region of RONI. The embedded watermark allows the image h...

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Bibliographic Details
Main Author: Tan Gui, Jiu
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
RC Internal medicine
Online Access:http://umpir.ump.edu.my/id/eprint/6993/
http://umpir.ump.edu.my/id/eprint/6993/
http://umpir.ump.edu.my/id/eprint/6993/1/CD7685.pdf
id ump-6993
recordtype eprints
spelling ump-69932015-03-03T09:33:44Z http://umpir.ump.edu.my/id/eprint/6993/ Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity Tan Gui, Jiu RC Internal medicine This research is proposed the watermarking scheme in tamper localization which is able to detect the location of the manipulated areas and verify the authentic by using the block average intensity. The watermark data for ROI will store in the region of RONI. The embedded watermark allows the image have been tamper can recover and check for the tampering detection. The usage of the block average intensity is one of the popular techniques due to its easy to implementation. In this research, the tamper localization will performed using block average intensity in the tamper watermarking scheme for medical image. The block average intensity and the sub-block average intensity will be used to find out the tamper area by using the authentication bit, parity check bit and average authentication bit. 2013 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6993/1/CD7685.pdf Tan Gui, Jiu (2013) Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity. Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:76542&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic RC Internal medicine
spellingShingle RC Internal medicine
Tan Gui, Jiu
Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
description This research is proposed the watermarking scheme in tamper localization which is able to detect the location of the manipulated areas and verify the authentic by using the block average intensity. The watermark data for ROI will store in the region of RONI. The embedded watermark allows the image have been tamper can recover and check for the tampering detection. The usage of the block average intensity is one of the popular techniques due to its easy to implementation. In this research, the tamper localization will performed using block average intensity in the tamper watermarking scheme for medical image. The block average intensity and the sub-block average intensity will be used to find out the tamper area by using the authentication bit, parity check bit and average authentication bit.
format Undergraduates Project Papers
author Tan Gui, Jiu
author_facet Tan Gui, Jiu
author_sort Tan Gui, Jiu
title Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
title_short Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
title_full Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
title_fullStr Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
title_full_unstemmed Medical Image Watermarking Scheme Using 13 Bits Enhanced Block Average Intensity
title_sort medical image watermarking scheme using 13 bits enhanced block average intensity
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/6993/
http://umpir.ump.edu.my/id/eprint/6993/
http://umpir.ump.edu.my/id/eprint/6993/1/CD7685.pdf
first_indexed 2023-09-18T22:03:12Z
last_indexed 2023-09-18T22:03:12Z
_version_ 1777414536440053760

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