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Proceedings Paper

Wavelet-based secure image coding using channel-optimized trellis-coded quantization
Author(s): Glen P. Abousleman; Tuyet-Trang Lam; Lina J. Karam
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Paper 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 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 pleasant 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.

Paper Details

Date Published: 7 January 1999
PDF: 12 pages
Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); doi: 10.1117/12.336968
Show Author Affiliations
Glen P. Abousleman, Motorola (United States)
Tuyet-Trang Lam, Arizona State Univ. (United States)
Lina J. Karam, Arizona State Univ. (United States)


Published in SPIE Proceedings Vol. 3577:
Sensors, C3I, Information, and Training Technologies for Law Enforcement
Edward M. Carapezza; David B. Law, Editor(s)

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