Colour image watermarking using discrete cosine transform and two-level singular value decomposition

Digital image watermarking is a technique used for hiding digital information in a carrier image. It is predominantly used for copyright protection against copyright infringement and malicious attacks. Embedding a watermark in the frequency domain is becoming more attractive for the majority of rese...

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Main Author: Ali, Bokan Omar
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/41601/5/BokanOmarAliMFSKSM2013.pdf
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spelling my-utm-ep.416012017-06-21T01:26:59Z Colour image watermarking using discrete cosine transform and two-level singular value decomposition 2013-11 Ali, Bokan Omar QA76 Computer software Digital image watermarking is a technique used for hiding digital information in a carrier image. It is predominantly used for copyright protection against copyright infringement and malicious attacks. Embedding a watermark in the frequency domain is becoming more attractive for the majority of researchers as it can provide better performance. In this research, colour image watermarking using Discrete Cosine Transform (DCT) and two-level Singular Value Decomposition (SVD) is proposed. First step is preparing RGB colour image as the cover image and greyscale image as the watermark. The RGB host image is divided into R, G and B channels and the B channel is then selected. The selected channel is then divided into non-overlapping square blocks of (4x4) pixels to match the watermark size. Next, the DCT is applied to each block. DC component is then retrieved and collected from each block in order to obtain a new block of (128x128) pixels. Following that, SVD is applied to the block to generate three matrices, U, S and V. Finally, the greyscale watermark is embedded in the S matrix. Once the embedding is completed, the R, G and embedded B channel are then merged to obtain a watermarked image. Experimental results show that the average PSNR value is higher than 53 dB, which means that the proposed method is imperceptible to naked eyes. Also, the average NCC value is higher than 0.97, which indicates the proposed method has strong robustness against major attacks. 2013-11 Thesis http://eprints.utm.my/id/eprint/41601/ http://eprints.utm.my/id/eprint/41601/5/BokanOmarAliMFSKSM2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ali, Bokan Omar
Colour image watermarking using discrete cosine transform and two-level singular value decomposition
description Digital image watermarking is a technique used for hiding digital information in a carrier image. It is predominantly used for copyright protection against copyright infringement and malicious attacks. Embedding a watermark in the frequency domain is becoming more attractive for the majority of researchers as it can provide better performance. In this research, colour image watermarking using Discrete Cosine Transform (DCT) and two-level Singular Value Decomposition (SVD) is proposed. First step is preparing RGB colour image as the cover image and greyscale image as the watermark. The RGB host image is divided into R, G and B channels and the B channel is then selected. The selected channel is then divided into non-overlapping square blocks of (4x4) pixels to match the watermark size. Next, the DCT is applied to each block. DC component is then retrieved and collected from each block in order to obtain a new block of (128x128) pixels. Following that, SVD is applied to the block to generate three matrices, U, S and V. Finally, the greyscale watermark is embedded in the S matrix. Once the embedding is completed, the R, G and embedded B channel are then merged to obtain a watermarked image. Experimental results show that the average PSNR value is higher than 53 dB, which means that the proposed method is imperceptible to naked eyes. Also, the average NCC value is higher than 0.97, which indicates the proposed method has strong robustness against major attacks.
format Thesis
qualification_level Master's degree
author Ali, Bokan Omar
author_facet Ali, Bokan Omar
author_sort Ali, Bokan Omar
title Colour image watermarking using discrete cosine transform and two-level singular value decomposition
title_short Colour image watermarking using discrete cosine transform and two-level singular value decomposition
title_full Colour image watermarking using discrete cosine transform and two-level singular value decomposition
title_fullStr Colour image watermarking using discrete cosine transform and two-level singular value decomposition
title_full_unstemmed Colour image watermarking using discrete cosine transform and two-level singular value decomposition
title_sort colour image watermarking using discrete cosine transform and two-level singular value decomposition
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2013
url http://eprints.utm.my/id/eprint/41601/5/BokanOmarAliMFSKSM2013.pdf
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