Watermarking using complex wavelets with resistance to geometric distortion

We present a watermarking algorithm in the complex wavelet domain and show why complex wavelets are better than real wavelets. Being an oversampled transform, the Complex Wavelet Transform requires special precautions during watermark embedding. We then model the watermarking process as a communcati...

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Published in2000 10th European Signal Processing Conference : 4-8 September 2000 pp. 1 - 4
Main Authors Loo, Patrick, Kingsbury, Nick
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.09.2000
Subjects
Algorithms
Channels
Continuous wavelet transforms
Discrete wavelet transforms
Distortion
Image registration
Noise
Transforms
Watermarking
Wavelet
Wavelet domain
Wavelet transforms
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ISBN9789521504433
9521504439

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Abstract We present a watermarking algorithm in the complex wavelet domain and show why complex wavelets are better than real wavelets. Being an oversampled transform, the Complex Wavelet Transform requires special precautions during watermark embedding. We then model the watermarking process as a communcation channel and our results show that the complex wavelets domain has relatively higher capacity than both the spatial and the real wavelets domains. We will also outline a motion-based algorithm for image registration, which can help recovering watermarks from images suffering from geometric distortion.
AbstractList We present a watermarking algorithm in the complex wavelet domain and show why complex wavelets are better than real wavelets. Being an oversampled transform, the Complex Wavelet Transform requires special precautions during watermark embedding. We then model the watermarking process as a communcation channel and our results show that the complex wavelets domain has relatively higher capacity than both the spatial and the real wavelets domains. We will also outline a motion-based algorithm for image registration, which can help recovering watermarks from images suffering from geometric distortion.
Author Loo, Patrick
Kingsbury, Nick
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  organization: Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom
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Snippet We present a watermarking algorithm in the complex wavelet domain and show why complex wavelets are better than real wavelets. Being an oversampled transform,...
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SubjectTerms Algorithms
Channels
Continuous wavelet transforms
Discrete wavelet transforms
Distortion
Image registration
Noise
Transforms
Watermarking
Wavelet
Wavelet domain
Wavelet transforms
Title Watermarking using complex wavelets with resistance to geometric distortion
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