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Reversible Audio Data Hiding Using Linear Prediction and Error Expansion

Authors: Akira Nishimura;

Reversible Audio Data Hiding Using Linear Prediction and Error Expansion

Abstract

Reversible data hiding is a technique where hidden data is embedded in host data, such that the consistency of the host is perfectly preserved and the host data is restored during the extraction process of the hidden data. Herein, improvements to the conventional technique for reversible data hiding of audio waveforms are proposed. As no location map is required to prevent amplitude overflow, the proposed method achieves a storage capacity of nearly 1 bit per sample of payload data. The proposed method is superior in terms of having a smaller loss of payload data and little objective quality degradation on average. Concealment of payload within the host data is also better than when using the conventional method.

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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
20
Top 10%
Top 10%
Top 10%
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