Paper
7 January 1999 Wavelet-based secure image coding using channel-optimized trellis-coded quantization
Author Affiliations +
Proceedings Volume 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement; (1999) https://doi.org/10.1117/12.336968
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glen P. Abousleman, Tuyet-Trang Lam, and Lina J. Karam "Wavelet-based secure image coding using channel-optimized trellis-coded quantization", Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); https://doi.org/10.1117/12.336968
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Lead

Computer programming

Quantization

Image compression

Wavelets

Image filtering

Linear filtering

RELATED CONTENT


Back to Top