Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah

Digital watermarking is used to protect the intellectual property from malicious attack. This is because everyday people easily take the images or download the images without permission from ownership. Digital watermarking can hide data, such as in image, video and audio. In this project, the image...

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Main Author:	Abdullah, Halimah Tun
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science Integrated software Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/65339/2/65339.pdf
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id	my-uitm-ir.65339
record_format	uketd_dc
spelling	my-uitm-ir.653392022-09-08T03:50:23Z Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah 2014 Abdullah, Halimah Tun Electronic Computers. Computer Science Integrated software Algorithms Digital watermarking is used to protect the intellectual property from malicious attack. This is because everyday people easily take the images or download the images without permission from ownership. Digital watermarking can hide data, such as in image, video and audio. In this project, the image had been chosen as the secrecy of the data. This is because many attackers attempt to retrieve the secret data from an image than audio and video. The algorithm and techniques that implemented in this project is Most Significant Bit (MSB) algorithm and Discrete Cosine Transform (OCT) as a technique for embedding process. According to how watermark detected and extracted, this project use non-blind watermarking mean need an original image during extraction process. The non-blind watermarking is more secure and can endure in a variety of attacks such as compression, rotation, cropping, filtering and others. In this project, an image from different types was used during the embedding process. Then, the result had being compared between the different types of images. The types of images are Joint Photographic Experts Group (JPEG), Bitmap (BMP), and Portable Network Graphics (PNG). This project had been done in order to test the quality watermarked image using Peak Signal to Noise Ratio (PSNR). Findings show bitmap image is a high quality watermarked image from the other types of images since its value is more than 30 decibels (dB). The robustness of the watermarked image will test by attacking the watermarked image as the enhancement of this project. 2014 Thesis https://ir.uitm.edu.my/id/eprint/65339/ https://ir.uitm.edu.my/id/eprint/65339/2/65339.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Ahmad, Samsiah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad, Samsiah
topic	Electronic Computers Computer Science Integrated software Algorithms
spellingShingle	Electronic Computers Computer Science Integrated software Algorithms Abdullah, Halimah Tun Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
description	Digital watermarking is used to protect the intellectual property from malicious attack. This is because everyday people easily take the images or download the images without permission from ownership. Digital watermarking can hide data, such as in image, video and audio. In this project, the image had been chosen as the secrecy of the data. This is because many attackers attempt to retrieve the secret data from an image than audio and video. The algorithm and techniques that implemented in this project is Most Significant Bit (MSB) algorithm and Discrete Cosine Transform (OCT) as a technique for embedding process. According to how watermark detected and extracted, this project use non-blind watermarking mean need an original image during extraction process. The non-blind watermarking is more secure and can endure in a variety of attacks such as compression, rotation, cropping, filtering and others. In this project, an image from different types was used during the embedding process. Then, the result had being compared between the different types of images. The types of images are Joint Photographic Experts Group (JPEG), Bitmap (BMP), and Portable Network Graphics (PNG). This project had been done in order to test the quality watermarked image using Peak Signal to Noise Ratio (PSNR). Findings show bitmap image is a high quality watermarked image from the other types of images since its value is more than 30 decibels (dB). The robustness of the watermarked image will test by attacking the watermarked image as the enhancement of this project.
format	Thesis
qualification_level	Bachelor degree
author	Abdullah, Halimah Tun
author_facet	Abdullah, Halimah Tun
author_sort	Abdullah, Halimah Tun
title	Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
title_short	Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
title_full	Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
title_fullStr	Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
title_full_unstemmed	Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah
title_sort	enhancement of most significant bit (msb) algorithm using discrete cosine transform (dct) in non-blind watermarking / halimah tun abdullah
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/65339/2/65339.pdf
_version_	1783735548280569856

Enhancement of most significant bit (MSB) algorithm using discrete cosine transform (DCT) in non-blind watermarking / Halimah Tun Abdullah

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