Abstract
This paper presents a target-based image coding system for very low bit rate, intelligent image coding and transmission. The proposed image coder is a wavelet object-based coder in which the identified more relevant regions are coded with higher fidelity than the other less relevant image components. For this purpose, a scalable, multiresolution, shape representation and coding method is developed. The proposed image coder uses a trellis-coded quantizer (TCQ) and an object-based rate allocation scheme for coding the image information. Coding examples are presented to illustrate the performance of the proposed target-based image coder.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Editors | M.B. Matthews |
| Pages | 778-782 |
| Number of pages | 5 |
| 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