articleIEEE Transactions on Image ProcessingJan 17, 2005Closed access

Lossless generalized-LSB data embedding

University of Rochester · Koç University · +1 more institution

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Abstract

We present a novel lossless (reversible) data-embedding technique, which enables the exact recovery of the original host signal upon extraction of the embedded information. A generalization of the well-known least significant bit (LSB) modification is proposed as the data-embedding method, which introduces additional operating points on the capacity-distortion curve. Lossless recovery of the original is achieved by compressing portions of the signal that are susceptible to embedding distortion and transmitting these compressed descriptions as a part of the embedded payload. A prediction-based conditional entropy coder which utilizes unaltered portions of the host signal as side-information improves the…

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1,170
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FWCI
30.16
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100%
References
21
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Authors

4

Topics & keywords

Keywords
  • Lossless compression
  • Embedding
  • Data compression
  • Computer science
  • Algorithm
  • Lossy compression
  • Payload (computing)
  • Distortion (music)
UN Sustainable Development Goals
  • Affordable and clean energy
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