A dual-watermarking with QR code against cropping and resizing attack

Watermarking is a pattern of bits inserted into a digital image, audio or video file (digital file) that identifies the file’s ownership copyright information. It is one of the techniques to discourage illegal duplication of intellectual property. However, there is still a room for improvement for n...

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Main Author: Lau, Wei Khang
Format: Thesis
Language:English
English
English
Published: 2016
Subjects:
Online Access:http://eprints.uthm.edu.my/928/1/24p%20LAU%20WEI%20KHANG.pdf
http://eprints.uthm.edu.my/928/2/LAU%20WEI%20KHANG%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/928/3/LAU%20WEI%20KHANG%20WATERMARK.pdf
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spelling my-uthm-ep.9282021-09-09T06:04:57Z A dual-watermarking with QR code against cropping and resizing attack 2016-01 Lau, Wei Khang QA75-76.95 Calculating machines Watermarking is a pattern of bits inserted into a digital image, audio or video file (digital file) that identifies the file’s ownership copyright information. It is one of the techniques to discourage illegal duplication of intellectual property. However, there is still a room for improvement for new techniques applied to digital files to withstand against cropping and resizing attack. In this Dual-watermarking with QR code project, both visible and invisible watermark are used. The proposed technique is compared with MOHANTY and HSU & WU techniques. First, visible QR code watermark is embedded into the image using LSB 7 (embed at the 7th bit from the left of the binary number) technique. Then, the invisible QR Code watermark was embedded into image using LSB 1 (embed at the 1st bit from the left of the binary number) technique. The proposed technique shows the watermark can be successfully extracted when image is enlarged up to 90 percent or shrank up to 90 percent (resizing attack). If enlarging and shrinking are combined to the same watermarked image, watermark can still be extracted and scanned. Final result for cropping attack shows that watermark can be successfully extracted when image is cropped up to 36 percent. If it is more than 36 percent, watermark is extractable but can not be scanned by QR Code scanner device. Besides that, PSNR result also shows that the proposed technique DWQR is 15 percent better than HSU & WU technique. 2016-01 Thesis http://eprints.uthm.edu.my/928/ http://eprints.uthm.edu.my/928/1/24p%20LAU%20WEI%20KHANG.pdf text en public http://eprints.uthm.edu.my/928/2/LAU%20WEI%20KHANG%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/928/3/LAU%20WEI%20KHANG%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic QA75-76.95 Calculating machines
spellingShingle QA75-76.95 Calculating machines
Lau, Wei Khang
A dual-watermarking with QR code against cropping and resizing attack
description Watermarking is a pattern of bits inserted into a digital image, audio or video file (digital file) that identifies the file’s ownership copyright information. It is one of the techniques to discourage illegal duplication of intellectual property. However, there is still a room for improvement for new techniques applied to digital files to withstand against cropping and resizing attack. In this Dual-watermarking with QR code project, both visible and invisible watermark are used. The proposed technique is compared with MOHANTY and HSU & WU techniques. First, visible QR code watermark is embedded into the image using LSB 7 (embed at the 7th bit from the left of the binary number) technique. Then, the invisible QR Code watermark was embedded into image using LSB 1 (embed at the 1st bit from the left of the binary number) technique. The proposed technique shows the watermark can be successfully extracted when image is enlarged up to 90 percent or shrank up to 90 percent (resizing attack). If enlarging and shrinking are combined to the same watermarked image, watermark can still be extracted and scanned. Final result for cropping attack shows that watermark can be successfully extracted when image is cropped up to 36 percent. If it is more than 36 percent, watermark is extractable but can not be scanned by QR Code scanner device. Besides that, PSNR result also shows that the proposed technique DWQR is 15 percent better than HSU & WU technique.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Lau, Wei Khang
author_facet Lau, Wei Khang
author_sort Lau, Wei Khang
title A dual-watermarking with QR code against cropping and resizing attack
title_short A dual-watermarking with QR code against cropping and resizing attack
title_full A dual-watermarking with QR code against cropping and resizing attack
title_fullStr A dual-watermarking with QR code against cropping and resizing attack
title_full_unstemmed A dual-watermarking with QR code against cropping and resizing attack
title_sort dual-watermarking with qr code against cropping and resizing attack
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Faculty of Computer Science and Information Technology
publishDate 2016
url http://eprints.uthm.edu.my/928/1/24p%20LAU%20WEI%20KHANG.pdf
http://eprints.uthm.edu.my/928/2/LAU%20WEI%20KHANG%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/928/3/LAU%20WEI%20KHANG%20WATERMARK.pdf
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