Hybrid watermark techniques for skin cancer images

The aims of this study are to reveal the potentials of digital watermarking in medical datamanagement issues, and proposes a hybrid watermark technique for skin cancer to enforce integrity,authenticity and confidentiality of the medical information. Dermoscopic image dataset (PH2) wasused for testin...

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Main Author:	Omar Adil Dheyab
Format:	thesis
Language:	eng
Published:	2019
Subjects:	RC0254 Neoplasms Tumors Oncology (including Cancer)
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=17
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id	oai:ir.upsi.edu.my:17
record_format	uketd_dc
institution	Universiti Pendidikan Sultan Idris
collection	UPSI Digital Repository
language	eng
topic	RC0254 Neoplasms Tumors Oncology (including Cancer)
spellingShingle	RC0254 Neoplasms Tumors Oncology (including Cancer) Omar Adil Dheyab Hybrid watermark techniques for skin cancer images
description	The aims of this study are to reveal the potentials of digital watermarking in medical datamanagement issues, and proposes a hybrid watermark technique for skin cancer to enforce integrity,authenticity and confidentiality of the medical information. Dermoscopic image dataset (PH2) wasused for testing purpose, which includes 200 different images. The hybrid watermark is proposedbased on chaotic embedding. The hybrid watermarking includes robust and fragile watermarks embeddedin the region of non interest of the image. The robust watermark utilizes the discrete wavelettransform to hide the patient information in the frequency domain. The fragile watermark utilizesthe least significant bit to hide the authentication data in the spatial domain. The findings ofthis study shows high watermarked image quality and promising robustness under different attacks,and when compared with other techniques including discrete cosine transform and 2LSB. The PeakSignalto-Noise Ratio (PSNR) of the watermarked image is 37.64 dB and the Mean Square Error (MSE)is 36.7507 dB, which indicate good image equality. In general, the hybrid watermark did not degradethe image quality and enhanced medical data security and authentication. The proposed hybridwatermarking can help health organizations todeal with medical information effectively, especially during storage and transmission.
format	thesis
qualification_name
qualification_level	Doctorate
author	Omar Adil Dheyab
author_facet	Omar Adil Dheyab
author_sort	Omar Adil Dheyab
title	Hybrid watermark techniques for skin cancer images
title_short	Hybrid watermark techniques for skin cancer images
title_full	Hybrid watermark techniques for skin cancer images
title_fullStr	Hybrid watermark techniques for skin cancer images
title_full_unstemmed	Hybrid watermark techniques for skin cancer images
title_sort	hybrid watermark techniques for skin cancer images
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Seni, Komputeran dan Industri Kreatif
publishDate	2019
url	https://ir.upsi.edu.my/detailsg.php?det=17
_version_	1747832858161971200
spelling	oai:ir.upsi.edu.my:172020-02-13 Hybrid watermark techniques for skin cancer images 2019 Omar Adil Dheyab RC0254 Neoplasms. Tumors. Oncology (including Cancer) The aims of this study are to reveal the potentials of digital watermarking in medical datamanagement issues, and proposes a hybrid watermark technique for skin cancer to enforce integrity,authenticity and confidentiality of the medical information. Dermoscopic image dataset (PH2) wasused for testing purpose, which includes 200 different images. The hybrid watermark is proposedbased on chaotic embedding. The hybrid watermarking includes robust and fragile watermarks embeddedin the region of non interest of the image. The robust watermark utilizes the discrete wavelettransform to hide the patient information in the frequency domain. The fragile watermark utilizesthe least significant bit to hide the authentication data in the spatial domain. The findings ofthis study shows high watermarked image quality and promising robustness under different attacks,and when compared with other techniques including discrete cosine transform and 2LSB. The PeakSignalto-Noise Ratio (PSNR) of the watermarked image is 37.64 dB and the Mean Square Error (MSE)is 36.7507 dB, which indicate good image equality. In general, the hybrid watermark did not degradethe image quality and enhanced medical data security and authentication. The proposed hybridwatermarking can help health organizations todeal with medical information effectively, especially during storage and transmission. 2019 thesis https://ir.upsi.edu.my/detailsg.php?det=17 https://ir.upsi.edu.my/detailsg.php?det=17 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif Abdulbaki, A. S. (2012). Skin cancer image segmentation & detection by using unsupervisedmachine learning.Aher, M. S. V., & Vasekar, M. S. (2016). 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