Cover Image

An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit

Software watermarking is one of the most important methods for protecting copyrights and authenticating ownership; which can be used to prevent software piracy. In order to provide high quality watermarked image, the watermarked image should be imperceptible. Least significant bit (LSB) is a t...

Full description

Saved in:
Bibliographic Details
Main Author: Abdullah Bamatraf, Abdullah Omar
Format: Thesis
Language:English
English
Published: 2012
Subjects:
QA Mathematics
QA71-90 Instruments and machines
Online Access:http://eprints.uthm.edu.my/2243/1/24p%20ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF.pdf
http://eprints.uthm.edu.my/2243/2/ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF%20WATERMARK.pdf
http://eprints.uthm.edu.my/2243/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uthm.eprints.2243
record_format eprints
spelling my.uthm.eprints.22432021-10-31T04:40:24Z http://eprints.uthm.edu.my/2243/ An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit Abdullah Bamatraf, Abdullah Omar QA Mathematics QA71-90 Instruments and machines Software watermarking is one of the most important methods for protecting copyrights and authenticating ownership; which can be used to prevent software piracy. In order to provide high quality watermarked image, the watermarked image should be imperceptible. Least significant bit (LSB) is a technique that has been used for digital watermarking. Many researchers have improved LSB to embed watermark in the image. In this thesis, we introduce an improved digital watermarking algorithm using least significant bit (LSB). This method is chosen due to its minimal effect on the image. LSB is used by inversing the binary values of the watermark text and shifting the watermark according to the odd or even number of pixel coordinates of image before embedding the watermark. The proposed algorithm can be personalized according to the length of the watermark text. If the length of the watermark text is more than ((M*N)/8)-2 (where M*N is the amount of pixels in the image), the proposed algorithm will also embed the extra of the watermark text in the second LSB. We compare our proposed algorithm with the 1-LSB algorithm and Lee’s algorithm and Yang's algorithm using Peak signal�to-noise ratio (PSNR). The value of the watermarked dock image is 54.5691 dB which is higher than the traditional LSB 53.6950 dB and Lee's algorithm 53.7041 db and Yang's algorithm 52.4518 dB. Also in the other image, the proposed algorithm got the highest value of PSNR. This improved algorithm improved its quality of the watermarked image. We also attack the watermarked image by using cropping and adding noise and we got good results as well 2012-02 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/2243/1/24p%20ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF.pdf text en http://eprints.uthm.edu.my/2243/2/ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF%20WATERMARK.pdf Abdullah Bamatraf, Abdullah Omar (2012) An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit. Masters thesis, Universiti Tun Hussein Onn Malaysia.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
English
topic QA Mathematics
QA71-90 Instruments and machines
spellingShingle QA Mathematics
QA71-90 Instruments and machines
Abdullah Bamatraf, Abdullah Omar
An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
description Software watermarking is one of the most important methods for protecting copyrights and authenticating ownership; which can be used to prevent software piracy. In order to provide high quality watermarked image, the watermarked image should be imperceptible. Least significant bit (LSB) is a technique that has been used for digital watermarking. Many researchers have improved LSB to embed watermark in the image. In this thesis, we introduce an improved digital watermarking algorithm using least significant bit (LSB). This method is chosen due to its minimal effect on the image. LSB is used by inversing the binary values of the watermark text and shifting the watermark according to the odd or even number of pixel coordinates of image before embedding the watermark. The proposed algorithm can be personalized according to the length of the watermark text. If the length of the watermark text is more than ((M*N)/8)-2 (where M*N is the amount of pixels in the image), the proposed algorithm will also embed the extra of the watermark text in the second LSB. We compare our proposed algorithm with the 1-LSB algorithm and Lee’s algorithm and Yang's algorithm using Peak signal�to-noise ratio (PSNR). The value of the watermarked dock image is 54.5691 dB which is higher than the traditional LSB 53.6950 dB and Lee's algorithm 53.7041 db and Yang's algorithm 52.4518 dB. Also in the other image, the proposed algorithm got the highest value of PSNR. This improved algorithm improved its quality of the watermarked image. We also attack the watermarked image by using cropping and adding noise and we got good results as well
format Thesis
author Abdullah Bamatraf, Abdullah Omar
author_facet Abdullah Bamatraf, Abdullah Omar
author_sort Abdullah Bamatraf, Abdullah Omar
title An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
title_short An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
title_full An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
title_fullStr An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
title_full_unstemmed An improved digital watermarking algorithm using combination of least significant bit (LSB) and inverse bit
title_sort improved digital watermarking algorithm using combination of least significant bit (lsb) and inverse bit
publishDate 2012
url http://eprints.uthm.edu.my/2243/1/24p%20ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF.pdf
http://eprints.uthm.edu.my/2243/2/ABDULLAH%20OMAR%20ABDULLAH%20BAMATRAF%20WATERMARK.pdf
http://eprints.uthm.edu.my/2243/
_version_ 1738580964890640384
score 13.211869

Similar Items