A quantization based robust image watermarking algorithm in the wavelet domain

Watermarking which belong to the field of information hiding has seen a lot of research interest recently. Watermarking is used in B2B and B2C e-commerce markets for a variety of reasons including security, content protection, copyright management, trust management, content authentication, tamper...

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Main Authors: Potdar, Vidyasagar, Chang, Elizabeth
Format: Conference Paper
Published: International Telecommunications Society 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/28643
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author Potdar, Vidyasagar
Chang, Elizabeth
author_facet Potdar, Vidyasagar
Chang, Elizabeth
author_sort Potdar, Vidyasagar
building Curtin Institutional Repository
collection Online Access
description Watermarking which belong to the field of information hiding has seen a lot of research interest recently. Watermarking is used in B2B and B2C e-commerce markets for a variety of reasons including security, content protection, copyright management, trust management, content authentication, tamper detection and privacy. Recently many watermarking techniques have been proposed to support these applications but one major issue with most of the watermarking techniques it that these techniques fail in the presence of severe attacks. This has been a major threat to content providers in the e-commerce scenario because if the digital content is dramatically changed then it would be difficult to prove the existence of a watermark in it and consequently its ownership. To tackle this security threat towards ownership issues we propose a quantization based watermarking algorithm which offers incredible performance in presence of malicious attacks which try to remove ownership information. The proposed scheme is backed up with excellent results.
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publishDate 2005
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spelling curtin-20.500.11937-286432017-01-30T13:06:24Z A quantization based robust image watermarking algorithm in the wavelet domain Potdar, Vidyasagar Chang, Elizabeth Quantization DWT Watermarking information systems security Watermark Detection Watermarking which belong to the field of information hiding has seen a lot of research interest recently. Watermarking is used in B2B and B2C e-commerce markets for a variety of reasons including security, content protection, copyright management, trust management, content authentication, tamper detection and privacy. Recently many watermarking techniques have been proposed to support these applications but one major issue with most of the watermarking techniques it that these techniques fail in the presence of severe attacks. This has been a major threat to content providers in the e-commerce scenario because if the digital content is dramatically changed then it would be difficult to prove the existence of a watermark in it and consequently its ownership. To tackle this security threat towards ownership issues we propose a quantization based watermarking algorithm which offers incredible performance in presence of malicious attacks which try to remove ownership information. The proposed scheme is backed up with excellent results. 2005 Conference Paper http://hdl.handle.net/20.500.11937/28643 International Telecommunications Society restricted
spellingShingle Quantization
DWT
Watermarking
information systems
security
Watermark Detection
Potdar, Vidyasagar
Chang, Elizabeth
A quantization based robust image watermarking algorithm in the wavelet domain
title A quantization based robust image watermarking algorithm in the wavelet domain
title_full A quantization based robust image watermarking algorithm in the wavelet domain
title_fullStr A quantization based robust image watermarking algorithm in the wavelet domain
title_full_unstemmed A quantization based robust image watermarking algorithm in the wavelet domain
title_short A quantization based robust image watermarking algorithm in the wavelet domain
title_sort quantization based robust image watermarking algorithm in the wavelet domain
topic Quantization
DWT
Watermarking
information systems
security
Watermark Detection
url http://hdl.handle.net/20.500.11937/28643