Abstract
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios in the range of the most advanced transform coders.
| Original language | English (US) |
|---|---|
| Article number | 389483 |
| Pages (from-to) | V257-V260 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 5 |
| State | Published - 1994 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering