Abstract
This paper presents a wavelet-based image coder that is optimized for transmission over binary channels with memory. The proposed coder uses a Channel-Optimized Trellis-Coded Quantizer (COTCQ) designed for a binary first-order Markov channel. The quantizer stage exploits the channel memory by incorporating the characteristics of the additive correlated channel noise during the quantizer design and by using a new trellis structure. The performance of the proposed memory-optimized COTCQ (MCOTCQ) image coding system is presented for different bit error probabilities and noise correlation parameters. It is shown that the performance of the coder is significantly improved when the second-order statistics of the noise are taken into account at the quantizer design level.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Editors | M.B. Matthews |
| Pages | 788-791 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - 2001 |
| Event | 35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 4 2001 → Nov 7 2001 |
Other
| Other | 35th Asilomar Conference on Signals, Systems and Computers |
|---|---|
| Country/Territory | United States |
| City | Pacific Grove, CA |
| Period | 11/4/01 → 11/7/01 |
ASJC Scopus subject areas
- Hardware and Architecture
- Signal Processing
- Electrical and Electronic Engineering