Abstract
In order to meet the load capacity of the mini-system, the image fusion system should have low power dissipation and small volume. With the advantages of small volume, low power dissipation and plentiful peripherals, BF548 is selected as the main processor of the image fusion system to satisfy the special requirement of the mini-system. Then a new optimized fusion algorithm based K-L entropy analysis is proposed. The infrared source image is segmented into object and background region based on K-L entropy between visible and infrared images, and different fusion strategies are used for different regions. Through simulation experiment, it is proved that the information entropy based on this algorithm improves 16% over that based on traditional lifting wavelet algorithm, and the standard deviation improves more than 86%.
| Original language | English |
|---|---|
| Pages (from-to) | 693-697 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 30 |
| Issue number | 6 |
| Publication status | Published - Jun 2010 |
Keywords
- BF548
- Image fusion
- K-L entropy
- Microminiature
- Optimization