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A Blind Associative Watermarking Technique Using Self-Embedding

Authors: Chin-Feng Lee; Tsung-Chia Yang;

A Blind Associative Watermarking Technique Using Self-Embedding

Abstract

Two techniques combining associative watermarking and self-embedding are used to support the blind watermarking detection. The experimental result shows that the proposed method is robust. When the watermarked images suffered from various kinds of image-processing procedures, such as Gaussian noise and brightness, the existence of watermarks can be detected without the original image's assistance.

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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!
1
Average
Average
Average
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