Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images

This thesis investigated the trend in the current watermarking technology of medical images which features authentication, tamper localization, and recovery. Nowadays the information system is used widely in hospitals and clinical departments globally. It is able to help the clinical professionals d...

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Main Author:	Syifak Izhar, Hisham
Format:	Thesis
Language:	English English English
Published:	2016
Subjects:	Q Science (General) T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/15249/ http://umpir.ump.edu.my/id/eprint/15249/ http://umpir.ump.edu.my/id/eprint/15249/1/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880.pdf http://umpir.ump.edu.my/id/eprint/15249/2/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/15249/3/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%203.pdf

id	ump-15249
recordtype	eprints
spelling	ump-152492016-11-09T06:46:04Z http://umpir.ump.edu.my/id/eprint/15249/ Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images Syifak Izhar, Hisham Q Science (General) T Technology (General) This thesis investigated the trend in the current watermarking technology of medical images which features authentication, tamper localization, and recovery. Nowadays the information system is used widely in hospitals and clinical departments globally. It is able to help the clinical professionals doing diagnosis, smoothen the transmission process, and store the patients' data and medical images. Since the system handles thousands of crucial medical data, a security and authentication method is seen as imperative to protect the data. Three watermarking techniques were proposed to enhance the fragile watermarking algorithm aiming at improving the numbering technique before embedding the watermark data. They are Authentication Watermarking for Grey-Scale Medical Images Using Spiral Manner Numbering (SPIRAL-LSB), Authentication Watermarking for Grey-Scale Medical Images Using Hilbert Manner Numbering (HILBERT-LSB) and Authentication Watermarking for Color Medical Images Using Hilbert Manner Numbering (HILBERT-LSB-C). All proposed methods used unique styles of numbering and mapping pixels to guarantee a good performance of the authentication system. This can be done by spreading the numbered original data as far as possible from the original locations. The watermark generating and embedding phases used the same processes in all schemes. They produced the authentication data by using simple operations, which were parity bits check and comparison between average intensity data. The schemes embedded the authentication data in the least significant bit (LSB). The embedded authentication data in the same host image were utilized to localize any tamper using block-wise approach. The method is effective since it only required a secret key and a public, chaotic mixing algorithm to recover the attacked image. 2016-01 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15249/1/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15249/2/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/15249/3/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%203.pdf Syifak Izhar, Hisham (2016) Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images. PhD thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:96862&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	Q Science (General) T Technology (General)
spellingShingle	Q Science (General) T Technology (General) Syifak Izhar, Hisham Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
description	This thesis investigated the trend in the current watermarking technology of medical images which features authentication, tamper localization, and recovery. Nowadays the information system is used widely in hospitals and clinical departments globally. It is able to help the clinical professionals doing diagnosis, smoothen the transmission process, and store the patients' data and medical images. Since the system handles thousands of crucial medical data, a security and authentication method is seen as imperative to protect the data. Three watermarking techniques were proposed to enhance the fragile watermarking algorithm aiming at improving the numbering technique before embedding the watermark data. They are Authentication Watermarking for Grey-Scale Medical Images Using Spiral Manner Numbering (SPIRAL-LSB), Authentication Watermarking for Grey-Scale Medical Images Using Hilbert Manner Numbering (HILBERT-LSB) and Authentication Watermarking for Color Medical Images Using Hilbert Manner Numbering (HILBERT-LSB-C). All proposed methods used unique styles of numbering and mapping pixels to guarantee a good performance of the authentication system. This can be done by spreading the numbered original data as far as possible from the original locations. The watermark generating and embedding phases used the same processes in all schemes. They produced the authentication data by using simple operations, which were parity bits check and comparison between average intensity data. The schemes embedded the authentication data in the least significant bit (LSB). The embedded authentication data in the same host image were utilized to localize any tamper using block-wise approach. The method is effective since it only required a secret key and a public, chaotic mixing algorithm to recover the attacked image.
format	Thesis
author	Syifak Izhar, Hisham
author_facet	Syifak Izhar, Hisham
author_sort	Syifak Izhar, Hisham
title	Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
title_short	Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
title_full	Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
title_fullStr	Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
title_full_unstemmed	Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images
title_sort	enhanced lsb watermarking methods based on scanning patterns for authentication of medical images
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15249/ http://umpir.ump.edu.my/id/eprint/15249/ http://umpir.ump.edu.my/id/eprint/15249/1/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880.pdf http://umpir.ump.edu.my/id/eprint/15249/2/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/15249/3/FSKKP%20-%20SYIFAK%20IZHAR%20-%20CD%209880%20-%20CHAP%203.pdf
first_indexed	2023-09-18T22:19:42Z
last_indexed	2023-09-18T22:19:42Z
_version_	1777415574266052608

Enhanced LSB watermarking methods based on scanning patterns for authentication of medical images

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