Reversible data embedding using a difference expansion

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Abstract

Reversible data embedding has drawn lots of interest recently. Being reversible, the original digital content can be completely restored. We present a novel reversible data-embedding method for digital images. We explore the redundancy in digital images to achieve very high embedding capacity, and keep the distortion low.

Citation impact

2,968
total citations
FWCI
13.20
Percentile
100%
References
11
Citations per year

Authors

1

Topics & keywords

Keywords
  • Embedding
  • Redundancy (engineering)
  • Computer science
  • Information hiding
  • Distortion (music)
  • Artificial intelligence
  • Computer vision
  • Algorithm
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