Wavelet-based secure image coding using channel-optimized trellis-coded quantization

Glen P. Abousleman, Tuyet Trang Lam, Lina J. Karam

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

This paper presents a wavelet-based image coder optimized for transmission over binary symmetric channels (BSC). The proposed coder uses a robust channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the image coding based on the channel characteristics. This optimization is performed only at the level of the source encoder, and does not include any channel coding for error protection. The robust nature of the coder increases the security level of the encoded bit stream and provides a much more visually pleasing rendition of the decoded image. Consequently, the proposed robust channel-optimized image coder is especially suitable for wireless transmission due to its reduced complexity, its robustness to non-stationary signals and channels, and its increased security level.

Original languageEnglish (US)
Pages (from-to)288-299
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3577
DOIs
StatePublished - Jan 7 1999
EventSensors, C3I, Information, and Training Technologies for Law Enforcement 1998 - Boston, United States
Duration: Nov 1 1998Nov 6 1998

Keywords

  • Channel-optimized trellis-coded quantization
  • Noisy channels
  • Wavelet image compression

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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