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...
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| Format: | Thesis |
| Language: | English English |
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2012
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| 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 |
| _version_ | 1796868611802923008 |
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| author | Abdullah Bamatraf, Abdullah Omar |
| author_facet | Abdullah Bamatraf, Abdullah Omar |
| author_sort | Abdullah Bamatraf, Abdullah Omar |
| collection | UTHM |
| 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 |
| first_indexed | 2024-03-05T21:42:23Z |
| format | Thesis |
| id | uthm.eprints-2243 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English |
| last_indexed | 2024-03-05T21:42:23Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | 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. |
| 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 |
| title | 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_short | 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 |
| topic | QA Mathematics QA71-90 Instruments and machines |
| 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 |
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