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A Watermarking Scheme Based on Discrete Non-separable Wavelet Transform

Authors: Jianwei Yang; Xinge You; Yuan Yan Tang; Bin Fang 0001;

A Watermarking Scheme Based on Discrete Non-separable Wavelet Transform

Abstract

This paper presents a novel method for constructing non-separable wavelet filters. The high frequency sub-bands of non-separable wavelet transform can reveal more features than that of the common used separable wavelet transform. Then, we describe a blind watermarking scheme which is based on discrete non-separable wavelet transform (DNWT). More coefficients of DNWT can add watermark than that of discrete separable wavelet transform (DSWT). Experiment results show that the DNWT watermarking scheme is robust to noising, JPEG compression, and cropping. Especially, it is more resistant to sharpening than DSWT scheme. Furthermore, by adjusting the threshold such that the number of the DSWT coefficients to embed watermark is not less than the number of the DNWT coefficients, the performance of DSWT to sharpening is still worse than the DNWT. Such adjustment also dramatically decreases the robustness of the DSWT scheme to noising.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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