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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/117600...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2025
Data sources: DBLP
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Robust Image Watermarking Using RBF Neural Network

Authors: Wei Lu 0001; Hongtao Lu 0001; Fu-Lai Chung;

Robust Image Watermarking Using RBF Neural Network

Abstract

In recent years digital watermarking was developed significantly and applied broadly for copyright protection and authentication. In this paper, a digital image watermarking scheme is developed using neural network to embedded watermark into DCT domain of each subimage blocks obtained by subsampling, which achieves adaptively watermark embedding and stronger robustness. Furthermore, in order to improve the security of the proposed watermarking, a random permutation process is used in watermarking process. Experiments show that the proposed watermarking scheme is effect and encouraging.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
3
Average
Average
Average
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