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High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold

Digital watermarking is being used for increasing the level of effectiveness and security of the documents transfer over the internet, especially in the biomedical field. This study examined and explored the new working domain for medical image watermarking by introducing a Dynamic Visibility Thresh...

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Main Authors: Tan, Chi Wee, Mohd. Rahim, Mohd. Shafry, Tan, Gloria Jennis, Sulong, Ghazali, Chaw, Jun Kit
Format: Conference or Workshop Item
Published: 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/94340/
http://dx.doi.org/10.1109/ICIDM51048.2020.9339651
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spelling my.utm.943402022-03-31T15:14:41Z http://eprints.utm.my/id/eprint/94340/ High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold Tan, Chi Wee Mohd. Rahim, Mohd. Shafry Tan, Gloria Jennis Sulong, Ghazali Chaw, Jun Kit QA75 Electronic computers. Computer science Digital watermarking is being used for increasing the level of effectiveness and security of the documents transfer over the internet, especially in the biomedical field. This study examined and explored the new working domain for medical image watermarking by introducing a Dynamic Visibility Threshold (DVT) as a crossover from pure mathematics over the traditional fixed visibility threshold. Initially, for providing higher robustness against the watermarking attacks, the watermarking process is done on Slantlet Transform, an improved version of Discrete Wavelet Transform. By investigating the root of the medical image properties, we introduce the descriptive statistics namely Quantile Theory to deliver a dynamic value from the biomedical itself for the embedding process. Later, we had identified that the Third Quartile is the most optimum value for the DVT in terms of higher imperceptibility. This paper uses a standard dataset from BRAINIX, a medical database provided by OsiriX, Pixmeo SARL, and the effectiveness of the proposed method is analysed using MATLAB R2013a. The most obvious finding to emerge from this study is the convergence of descriptive statistics from pure mathematics and medical image watermarking from computer science, therefore shine new light on dynamic visibility threshold through mathematical theories. With the presence of descriptive statistics, quartile theory is being used to increase the imperceptibility of the watermarking in biomedical images. 2021 Conference or Workshop Item PeerReviewed Tan, Chi Wee and Mohd. Rahim, Mohd. Shafry and Tan, Gloria Jennis and Sulong, Ghazali and Chaw, Jun Kit (2021) High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold. In: 6th International Conference on Interactive Digital Media, ICIDM 2020, 14 - 15 December 2020, Virtual, Bandung. http://dx.doi.org/10.1109/ICIDM51048.2020.9339651
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Tan, Chi Wee
Mohd. Rahim, Mohd. Shafry
Tan, Gloria Jennis
Sulong, Ghazali
Chaw, Jun Kit
High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
description Digital watermarking is being used for increasing the level of effectiveness and security of the documents transfer over the internet, especially in the biomedical field. This study examined and explored the new working domain for medical image watermarking by introducing a Dynamic Visibility Threshold (DVT) as a crossover from pure mathematics over the traditional fixed visibility threshold. Initially, for providing higher robustness against the watermarking attacks, the watermarking process is done on Slantlet Transform, an improved version of Discrete Wavelet Transform. By investigating the root of the medical image properties, we introduce the descriptive statistics namely Quantile Theory to deliver a dynamic value from the biomedical itself for the embedding process. Later, we had identified that the Third Quartile is the most optimum value for the DVT in terms of higher imperceptibility. This paper uses a standard dataset from BRAINIX, a medical database provided by OsiriX, Pixmeo SARL, and the effectiveness of the proposed method is analysed using MATLAB R2013a. The most obvious finding to emerge from this study is the convergence of descriptive statistics from pure mathematics and medical image watermarking from computer science, therefore shine new light on dynamic visibility threshold through mathematical theories. With the presence of descriptive statistics, quartile theory is being used to increase the imperceptibility of the watermarking in biomedical images.
format Conference or Workshop Item
author Tan, Chi Wee
Mohd. Rahim, Mohd. Shafry
Tan, Gloria Jennis
Sulong, Ghazali
Chaw, Jun Kit
author_facet Tan, Chi Wee
Mohd. Rahim, Mohd. Shafry
Tan, Gloria Jennis
Sulong, Ghazali
Chaw, Jun Kit
author_sort Tan, Chi Wee
title High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
title_short High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
title_full High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
title_fullStr High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
title_full_unstemmed High imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
title_sort high imperceptibility medical image watermarking scheme based on slantlet transform by using dynamic visibility threshold
publishDate 2021
url http://eprints.utm.my/id/eprint/94340/
http://dx.doi.org/10.1109/ICIDM51048.2020.9339651
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score 13.211869

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