An analysis of quantization based embedding-detection techniques

Husrev T. Sencar, Mahalingam Ramkumar, Ali N. Akansu

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

We analyze quantization based embedding and detection schemes in terms of the data hiding framework introduced in Refs. [1, 2]. This framework enables a better connection between analytical results and practical designs. We lay out the performance evaluation criteria and present comparison results for scalar quantization based data hiding techniques. Embedder-detector designs are evaluated based on three key issues. These are: 1) the type of post-processing employed at the embedder 2) the form of demodulation 3) the criteria used to optimize embedding-detection parameters. Data hiding methods are compared based on rate, correlation, and probability of error performance merits.

Original languageEnglish (US)
Pages (from-to)III77-III80
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - Sep 28 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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