Bhowmik, D. and Abhayaratne, C. (2007) Morphological wavelet domain image watermarking. In: 15th European Signal Processing Conference (EUSIPCO 2007). EUSIPCO 2007, 03-07 Sep 2007, Poznan, Poland. EURASIP , Poznan, Poland , pp. 2539-2543. ISBN 978-83-921340-2-2
Abstract
Current digital watermarking methods based on the discrete wavelet transform use orthogonal wavelet kernels. In this paper, we discuss the use of morphological wavelets, which are a class of non-linear wavelets, in digital watermarking for scalable coded images. Three different scenarios for embedding the watermark, namely, 1) embedding only in the low pass subband (low-low), 2) embedding only in the high pass subbands (low-high, high-low and high-high) and 3) embedding in all subbands are considered to model popular wavelet domain watermarking methods. The performance of morphological Haar and higher length median wavelets in terms of embedding and detection under content adaptation attacks, such as resolution and quality scalable decoding are shown. Morphological wavelets based watermarking shows a high robustness against the content adaptation attacks, especially in resolution scalability, compared to the conventional orthogonal wavelets based watermarking.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | First published in the Proceedings of the 20th European Signal Processing Conference (EUSIPCO-2012) in 2012, published by EURASIP. |
Keywords: | Image watermarking, morphological wavelet, JPEG2000 |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number EPSRC BP-EPSRC DHPA |
Depositing User: | Dr Deepayan Bhowmik |
Date Deposited: | 21 May 2013 09:25 |
Last Modified: | 19 Dec 2022 13:25 |
Status: | Published |
Publisher: | EURASIP |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:75658 |