Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications
With easy and quick data distribution over the Internet, copyright protection and authentication become important applications of digital watermarking. The image watermarking schemes that are useful to serve these applications should perform well in some of challenging applications such as print-s...
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ump-74722018-01-22T06:05:19Z http://umpir.ump.edu.my/id/eprint/7472/ Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications Makbol, Nasrin M. Bee, Ee Khoo Rassem, Taha H. QA75 Electronic computers. Computer science With easy and quick data distribution over the Internet, copyright protection and authentication become important applications of digital watermarking. The image watermarking schemes that are useful to serve these applications should perform well in some of challenging applications such as print-scan and print-cam (PSPC) applications. This challenge provides an impetus for research in the digital watermarking field. In this paper, the performance and the efficiency of several proposed hybrid SVD-based digital image watermarking schemes are evaluated and studied for PSPC as well as for copyright protection and authentication. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7472/1/fskkp-2014-rassem-Performance%20Evaluation%20of%20SVD.pdf Makbol, Nasrin M. and Bee, Ee Khoo and Rassem, Taha H. (2014) Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications. In: Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2014), 1-4 December 2014 , Kuching, Sarawak. pp. 48-53.. http://dx.doi.org/10.1109/ISPACS.2014.7024423 |
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Online Access |
language |
English |
topic |
QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Makbol, Nasrin M. Bee, Ee Khoo Rassem, Taha H. Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
description |
With easy and quick data distribution over the Internet,
copyright protection and authentication become important
applications of digital watermarking. The image watermarking schemes that are useful to serve these applications should perform well in some of challenging applications such as print-scan and print-cam (PSPC) applications. This challenge provides an impetus for research in the digital watermarking field. In this paper, the performance and the efficiency of several proposed hybrid SVD-based digital image watermarking schemes are evaluated and studied for PSPC as well as for copyright protection and authentication. |
format |
Conference or Workshop Item |
author |
Makbol, Nasrin M. Bee, Ee Khoo Rassem, Taha H. |
author_facet |
Makbol, Nasrin M. Bee, Ee Khoo Rassem, Taha H. |
author_sort |
Makbol, Nasrin M. |
title |
Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
title_short |
Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
title_full |
Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
title_fullStr |
Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
title_full_unstemmed |
Performance Evaluation of SVD-based Digital Image Watermarking Scheme on Print-Scan and Print-Cam (PSPC) Applications |
title_sort |
performance evaluation of svd-based digital image watermarking scheme on print-scan and print-cam (pspc) applications |
publishDate |
2014 |
url |
http://umpir.ump.edu.my/id/eprint/7472/ http://umpir.ump.edu.my/id/eprint/7472/ http://umpir.ump.edu.my/id/eprint/7472/1/fskkp-2014-rassem-Performance%20Evaluation%20of%20SVD.pdf |
first_indexed |
2023-09-18T22:04:06Z |
last_indexed |
2023-09-18T22:04:06Z |
_version_ |
1777414592354320384 |