Improvements on data hiding for lossy compression

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

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Compression is the most common application that all forms of multimedia data undergo. Lossy nature of the compression due to the use of quantizers should be taken into account by the watermarking technique employed. In this paper, we present a data hiding scheme that incorporates the embedding with the quantization of lossy compression. We show that embedder-detector sets marking use of compression scheme's quantization characteristics have better payload and lower compression bit rates. We also optimized the system parameters that maximize the hiding rate at different compression levels.

Original languageEnglish (US)
Pages (from-to)IV/3449-IV/3452
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
DOIs
StatePublished - Jan 1 2002
Event2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States
Duration: May 13 2002May 17 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Improvements on data hiding for lossy compression'. Together they form a unique fingerprint.

Cite this