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Optimized Image Watermarking Based On HD And SVD In IWT Domain

In today's digital age, protecting the ownership of multimedia content has become a crucial issue. The widespread use of the internet and the ease of copying and distributing digital media have made it increasingly challenging to prevent unauthorized use and distribution. To address this proble...

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Main Author: Ahmad Hisyam, Suryanto Sugian
Format: Undergraduates Project Papers
Language:English
Published: 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40880/1/CB20160.pdf
http://umpir.ump.edu.my/id/eprint/40880/
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spelling my.ump.umpir.408802024-04-04T03:07:56Z http://umpir.ump.edu.my/id/eprint/40880/ Optimized Image Watermarking Based On HD And SVD In IWT Domain Ahmad Hisyam, Suryanto Sugian QA75 Electronic computers. Computer science In today's digital age, protecting the ownership of multimedia content has become a crucial issue. The widespread use of the internet and the ease of copying and distributing digital media have made it increasingly challenging to prevent unauthorized use and distribution. To address this problem, watermarking has emerged as an effective solution. Image watermarking refers to the process of embedding a unique identifier into an image in a way that it is imperceptible to the human eye but can be extracted to prove ownership. In this research, we propose an optimized image watermarking method based on Hessenberg Decomposition (HD) and Singular Value Decomposition (SVD) in the Integer Wavelet Transform (IWT) domain. The proposed method utilizes the HD feature of the image to enhance the robustness of the watermark against attacks, while the SVD technique is used to achieve high invisibility and security. The IWT domain is employed to make the watermarking process more efficient, leading to a faster and more reliable watermarking algorithm. To evaluate the effectiveness of the proposed method, we conducted several experiments using standard image datasets. The results show that the proposed method outperforms existing state-of-the-art watermarking methods in terms of robustness and invisibility. Additionally, the proposed method is resistant to various image processing attacks. In conclusion, the proposed optimized image watermarking method based on HD and SVD in the IWT domain offers a highly effective solution for protecting the ownership of multimedia content. The use of HD and SVD techniques in the IWT domain ensures high robustness, invisibility, and security of the watermark, while the computational efficiency of the method makes it practical for real-world applications. 2022-11 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40880/1/CB20160.pdf Ahmad Hisyam, Suryanto Sugian (2022) Optimized Image Watermarking Based On HD And SVD In IWT Domain. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad Hisyam, Suryanto Sugian
Optimized Image Watermarking Based On HD And SVD In IWT Domain
description In today's digital age, protecting the ownership of multimedia content has become a crucial issue. The widespread use of the internet and the ease of copying and distributing digital media have made it increasingly challenging to prevent unauthorized use and distribution. To address this problem, watermarking has emerged as an effective solution. Image watermarking refers to the process of embedding a unique identifier into an image in a way that it is imperceptible to the human eye but can be extracted to prove ownership. In this research, we propose an optimized image watermarking method based on Hessenberg Decomposition (HD) and Singular Value Decomposition (SVD) in the Integer Wavelet Transform (IWT) domain. The proposed method utilizes the HD feature of the image to enhance the robustness of the watermark against attacks, while the SVD technique is used to achieve high invisibility and security. The IWT domain is employed to make the watermarking process more efficient, leading to a faster and more reliable watermarking algorithm. To evaluate the effectiveness of the proposed method, we conducted several experiments using standard image datasets. The results show that the proposed method outperforms existing state-of-the-art watermarking methods in terms of robustness and invisibility. Additionally, the proposed method is resistant to various image processing attacks. In conclusion, the proposed optimized image watermarking method based on HD and SVD in the IWT domain offers a highly effective solution for protecting the ownership of multimedia content. The use of HD and SVD techniques in the IWT domain ensures high robustness, invisibility, and security of the watermark, while the computational efficiency of the method makes it practical for real-world applications.
format Undergraduates Project Papers
author Ahmad Hisyam, Suryanto Sugian
author_facet Ahmad Hisyam, Suryanto Sugian
author_sort Ahmad Hisyam, Suryanto Sugian
title Optimized Image Watermarking Based On HD And SVD In IWT Domain
title_short Optimized Image Watermarking Based On HD And SVD In IWT Domain
title_full Optimized Image Watermarking Based On HD And SVD In IWT Domain
title_fullStr Optimized Image Watermarking Based On HD And SVD In IWT Domain
title_full_unstemmed Optimized Image Watermarking Based On HD And SVD In IWT Domain
title_sort optimized image watermarking based on hd and svd in iwt domain
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/40880/1/CB20160.pdf
http://umpir.ump.edu.my/id/eprint/40880/
_version_ 1822924262157058048
score 13.235362

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