An optimized medical images watermarking technique utilizing a constant ratio of frequency domain /

A medical image is a visual representation of the shape or function of internal body organs or tissues used in clinical analysis or medical diagnosis. Watermarking techniques are used to protect copyright and provide evidence of any attempt to unlawfully manipulate the content of medical images. The...

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Bibliographic Details
Main Author: Abdullah, Maryam Jasim (Author)
Format: Thesis Book
Language:English
Published: Kuala Lumpur : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia 2022
Subjects:
Online Access:http://studentrepo.iium.edu.my/handle/123456789/11378
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040 |a UIAM   |b eng   |e rda  
041 |a eng  
043 |a a-my--- 
100 1 |a Abdullah, Maryam Jasim  |9 574765  |e author 
245 1 3 |a An optimized medical images watermarking technique utilizing a constant ratio of frequency domain /  |c by Maryam Jasim Abdullah 
264 1 |a Kuala Lumpur :  |b Kulliyyah of Information and Communication Technology, International Islamic University Malaysia  |c 2022 
300 |a xix, 177 leaves :  |b illustrations ;  |c 30 cm. 
336 |a text   |2 rdacontent 
337 |a unmediated   |2 rdamedia 
337 |a computer   |2 rdamedia 
338 |a volume   |2 rdacarrier 
338 |a online resource   |2 rdacarrier 
347 |a text file   |b PDF   |2 rdaft 
500 |a Abstracts in English and Arabic.  
500 |a "A thesis submitted in fulfilment of the requirement for the degree of Doctor of Philosophy in Education." --On title page.  
502 |a Thesis (Ph.D)--International Islamic University Malaysia, 2022.  
504 |a Includes bibliographical references (leaves 150-164).  
520 |a A medical image is a visual representation of the shape or function of internal body organs or tissues used in clinical analysis or medical diagnosis. Watermarking techniques are used to protect copyright and provide evidence of any attempt to unlawfully manipulate the content of medical images. The watermarking technique was used to mask the data within the medical image without affecting the original visual quality. The challenge is producing an optimal watermarked image for different types of medical images where each with unique characteristics. Currently, there is no watermarking technique that can find the optimal action to use without affecting the visual quality and can resist image attacks. This research aims to investigate the characteristics of the frequency watermarking technique that affect the process of producing an optimal watermarked medical image. In the proposed optimal watermarking technique, watermark data will embed in a constant ratio of the original medical images frequency domain to increase the resistibility of the watermarked medical image to image attacks. The first step in developing an optimal watermarking technique in this research is to construct a theoretical framework and conceptual design model to understand the underlying characteristics of the watermarking technique process. Based on the proposed theoretical framework and conceptual design model, this research then investigates the role of the optimized frequency technique to achieve optimal performance for the watermarking technique. This research conducted an implementation experiment and simulation for the optimized frequency watermarking algorithm. Also, it analysed the effect of using the optimized frequency domain on the performance of the watermarking technique. Finally, the results of the optimized frequency watermarking algorithm are compared to the results of published watermarking algorithms. The proposed watermarking technique used optimization algorithm with frequency technique and Schur decomposition to produce watermarked images able to trade-off between the performance evaluation terms. The imperceptibility performance is high and has the robustness of the JPEG compression, salt and pepper noise, Gaussian noise, and rotation attack image attacks. Where the average PSNR values is 75.44 dB and NCC values for rotation attack is 0.91 and PEG compression is 0.99. 
655 0 |9 64  |a Theses, IIUM local 
690 |9 19519  |a Dissertations, Academic  |x Kulliyyah of Education  |z IIUM 
700 0 |a Amelia Ritahani Ismail  |e degree supervisor  |9 5129 
700 1 |a Adamu Abubakar Ibrahim  |e degree supervisor  |9 7040 
710 2 |9 169  |a International Islamic University Malaysia  |b Kulliyyah of Education 
856 1 4 |u http://studentrepo.iium.edu.my/handle/123456789/11378 
900 |a sz to asbh 
942 |2 lcc  |n 0  |c THESIS 
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952 |0 0  |1 0  |2 lcc  |4 0  |7 5  |8 IIUMTHESIS  |9 1015416  |a IIUM  |b IIUM  |c THESIS  |d 2023-06-01  |e Mgift  |p 11100480362  |r 2023-06-01  |w 2023-06-01  |y THESIS