Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
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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…
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Authors
3Topics & keywords
Topics
Keywords
- Steganography
- Computer science
- Algorithm
- Embedding
- Distortion (music)
- Viterbi algorithm
- Convolutional code
- Payload (computing)
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