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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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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1724444481380417536 |