Abstract
In this paper, we present an intelligent image compression system whereby regions of interest (ROI) and background information are coded independently of each other. We apply less compression (more bits) to regions of interest (targets), and more compression (fewer bits) to background data. This methodology preserves relevant features of targets for further analysis, and preserves the background only to the extent of providing contextual information. The resulting system dramatically reduces the bandwidth/storage requirements of the digital imagery, while preserving the target-specific utility of the imagery.
Original language | English (US) |
---|---|
Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Editors | F.A. Sadjadi |
Pages | 203-213 |
Number of pages | 11 |
Volume | 4726 |
DOIs | |
State | Published - 2002 |
Event | Automatic Target Recognition XII - Orlando, FL, United States Duration: Apr 2 2002 → Apr 4 2002 |
Other
Other | Automatic Target Recognition XII |
---|---|
Country/Territory | United States |
City | Orlando, FL |
Period | 4/2/02 → 4/4/02 |
Keywords
- Image coding
- Intelligent compression
- Target recognition
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics