Cover Image

Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection

Nowadays, multimedia content like images are easily to be distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake ne...

Full description

Saved in:
Bibliographic Details
Main Author: Wong, Shu Jie
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40697/1/CD20137%20%5Bedited%5D.pdf
http://umpir.ump.edu.my/id/eprint/40697/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.40697
record_format eprints
spelling my.ump.umpir.406972024-06-26T03:01:22Z http://umpir.ump.edu.my/id/eprint/40697/ Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection Wong, Shu Jie QA75 Electronic computers. Computer science Nowadays, multimedia content like images are easily to be distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake news, image piracy and illegal distribution of images. This research presents a novel Dual Image Watermarking scheme based on human visual characteristics for authentication and copyright protection. The objective of this proposed scheme is to develop an enhanced watermarking algorithm that achieves high imperceptibility and robustness by leveraging the principles of human visual system characteristics. The scheme aims to embed two watermarks into an image with minimal distortion, rendering them imperceptible to the human eye. Furthermore, the watermarks can be extracted accurately even after image processing attacks such as Gaussian noise or salt and pepper noise. Additionally, the scheme demonstrates efficient tamper localization, enabling the detection of modifications made to the original image with high accuracy, precision, and F1-score. Experimental results validate the effectiveness of the proposed scheme, showcasing superior performance in terms of imperceptibility, robustness, and tamper localization compared to existing watermarking schemes subjected to the same attacks. The scheme's ability to embed undetectable watermarks ensures copyright protection and authenticity verification, while its robustness against various image processing attacks enhances its practicality in real-world scenarios. In conclusion, the proposed Dual Image Watermarking scheme based on human visual characteristics provides an effective solution for authentication and copyright protection. By ensuring imperceptibility, robustness, and tamper localization, the scheme offers a reliable approach for securing digital multimedia content in the era of widespread information distribution and technological advancements. 2023-07 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40697/1/CD20137%20%5Bedited%5D.pdf Wong, Shu Jie (2023) Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection. 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
Wong, Shu Jie
Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
description Nowadays, multimedia content like images are easily to be distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake news, image piracy and illegal distribution of images. This research presents a novel Dual Image Watermarking scheme based on human visual characteristics for authentication and copyright protection. The objective of this proposed scheme is to develop an enhanced watermarking algorithm that achieves high imperceptibility and robustness by leveraging the principles of human visual system characteristics. The scheme aims to embed two watermarks into an image with minimal distortion, rendering them imperceptible to the human eye. Furthermore, the watermarks can be extracted accurately even after image processing attacks such as Gaussian noise or salt and pepper noise. Additionally, the scheme demonstrates efficient tamper localization, enabling the detection of modifications made to the original image with high accuracy, precision, and F1-score. Experimental results validate the effectiveness of the proposed scheme, showcasing superior performance in terms of imperceptibility, robustness, and tamper localization compared to existing watermarking schemes subjected to the same attacks. The scheme's ability to embed undetectable watermarks ensures copyright protection and authenticity verification, while its robustness against various image processing attacks enhances its practicality in real-world scenarios. In conclusion, the proposed Dual Image Watermarking scheme based on human visual characteristics provides an effective solution for authentication and copyright protection. By ensuring imperceptibility, robustness, and tamper localization, the scheme offers a reliable approach for securing digital multimedia content in the era of widespread information distribution and technological advancements.
format Undergraduates Project Papers
author Wong, Shu Jie
author_facet Wong, Shu Jie
author_sort Wong, Shu Jie
title Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
title_short Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
title_full Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
title_fullStr Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
title_full_unstemmed Dual Image Watermarking Based On Human Visual Characteristics For Authentication And Copyright Protection
title_sort dual image watermarking based on human visual characteristics for authentication and copyright protection
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40697/1/CD20137%20%5Bedited%5D.pdf
http://umpir.ump.edu.my/id/eprint/40697/
_version_ 1822924408699748352
score 13.235362

Similar Items