Abstract
In order to reconstruct images more accurate in compressed sensing, the pseudo-inverse adaptive matching pursuit (PIAMP) reconstruction algorithm is put forward based on the existing greed algorithms. The algorithm modifies the existing algorithm from the selection method and support set updating process of the optimal atom. The algorithm is applied in the image fusion of the compressed sensing. The experimental results show that, the reconstruction effect resulting from PIAMP is better than that of other basic greed algorithms, and a good fusion result can be obtained in shorter time.
| Original language | English |
|---|---|
| Pages (from-to) | 259-263 |
| Number of pages | 5 |
| Journal | Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology |
| Volume | 38 |
| Issue number | 2 |
| State | Published - Apr 2014 |
Keywords
- Compressed sensing
- Greedy algorithm
- Image fusion
- Pseudo-inverse adaptive matching pursuit algorithm