Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm

Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. Watermarking is identified as a major means to achieve copyright protection. The algorithm proposed in this work, is to use a blind watermarking scheme based on the Discrete...

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Bibliographic Details
Main Authors: Nasseer Basheer, Shaymaa Abdulsalam
Format: Article
Language:Arabic
Published: Mosul University 2013-03-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
dwt
ga
Online Access:https://csmj.mosuljournals.com/article_163421_75863bcb013ea0baa4cd75d7859232d6.pdf
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spelling doaj-24919b49df694b22a7098014299097492020-11-25T04:02:06ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics 1815-48162311-79902013-03-01101132710.33899/csmj.2013.163421163421Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic AlgorithmNasseer Basheer0Shaymaa Abdulsalam1Technical College in Mosul, Mosul, IraqTechnical College in Mosul, Mosul, IraqProtection of digital multimedia content has become an increasingly important issue for content owners and service providers. Watermarking is identified as a major means to achieve copyright protection. The algorithm proposed in this work, is to use a blind watermarking scheme based on the Discrete Wavelet Transform (DWT). Watermark components are embedded in the LL subband of the 4th DWT level of the host image by quantizing coefficients of the LL subband to improve the watermark robustness. The Genetic Algorithm (GA) is used for optimizing the quantization step size parameter, and the strength of factors. The host image used is a 512×512 gray scale image and the watermark image is a 32×32 binary logo. The proposed scheme was tested against mostly known threats and it proves to give good robustness. Also, it still gives a high quality watermarked image. MATLAB Program was used to perform the watermarking task.https://csmj.mosuljournals.com/article_163421_75863bcb013ea0baa4cd75d7859232d6.pdfdwtblind watermarkingquantizationga
collection DOAJ
language Arabic
format Article
sources DOAJ
author Nasseer Basheer
Shaymaa Abdulsalam
spellingShingle Nasseer Basheer
Shaymaa Abdulsalam
Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
Al-Rafidain Journal of Computer Sciences and Mathematics
dwt
blind watermarking
quantization
ga
author_facet Nasseer Basheer
Shaymaa Abdulsalam
author_sort Nasseer Basheer
title Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
title_short Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
title_full Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
title_fullStr Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
title_full_unstemmed Digital Image Watermarking Scheme Using Discrete Wavelet Transform Domain, Quantization, and Genetic Algorithm
title_sort digital image watermarking scheme using discrete wavelet transform domain, quantization, and genetic algorithm
publisher Mosul University
series Al-Rafidain Journal of Computer Sciences and Mathematics
issn 1815-4816
2311-7990
publishDate 2013-03-01
description Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. Watermarking is identified as a major means to achieve copyright protection. The algorithm proposed in this work, is to use a blind watermarking scheme based on the Discrete Wavelet Transform (DWT). Watermark components are embedded in the LL subband of the 4th DWT level of the host image by quantizing coefficients of the LL subband to improve the watermark robustness. The Genetic Algorithm (GA) is used for optimizing the quantization step size parameter, and the strength of factors. The host image used is a 512×512 gray scale image and the watermark image is a 32×32 binary logo. The proposed scheme was tested against mostly known threats and it proves to give good robustness. Also, it still gives a high quality watermarked image. MATLAB Program was used to perform the watermarking task.
topic dwt
blind watermarking
quantization
ga
url https://csmj.mosuljournals.com/article_163421_75863bcb013ea0baa4cd75d7859232d6.pdf
work_keys_str_mv AT nasseerbasheer digitalimagewatermarkingschemeusingdiscretewavelettransformdomainquantizationandgeneticalgorithm
AT shaymaaabdulsalam digitalimagewatermarkingschemeusingdiscretewavelettransformdomainquantizationandgeneticalgorithm
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