Abstract
In this contribution we utilize an optimal estimation approach for error-resilient transmission of compressed images over AWGN channels. In contrast to other methods, we mainly rely on the implicit residual redundancy inherent in the subband images and the bit-reliability information at the channel output for error protection. It is shown that by including a-priori knowledge about the spatial correlations in the subband images, we obtain a highly increased quality of the reconstructed image. This holds especially for very noisy channels and a mean-square estimation of the subband source coefficients.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1035-1039 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 2 |
| State | Published - 2000 |
| Externally published | Yes |
| Event | 34th Asilomar Conference - Pacific Grove, CA, United States Duration: Oct 29 2000 → Nov 1 2000 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Networks and Communications