Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes

Binghamton University

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Abstract

This paper proposes a complete practical methodology for minimizing additive distortion in steganography with general (nonbinary) embedding operation. Let every possible value of every stego element be assigned a scalar expressing the distortion of an embedding change done by replacing the cover element by this value. The total distortion is assumed to be a sum of per-element distortions. Both the payload-limited sender (minimizing the total distortion while embedding a fixed payload) and the distortion-limited sender (maximizing the payload while introducing a fixed total distortion) are considered. Without any loss of performance, the nonbinary case is decomposed into several binary cases by replacing…

Citation impact

943
total citations
FWCI
21.72
Percentile
100%
References
51
Citations per year

Authors

3

Topics & keywords

Keywords
  • Steganography
  • Computer science
  • Algorithm
  • Embedding
  • Distortion (music)
  • Viterbi algorithm
  • Convolutional code
  • Payload (computing)
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