摘要
A super-resolution reconstruction algorithm is proposed. The algorithm is based on the idea of the sparse representation of signals, by using the fact that the sparsest representation of a signal is unique as the constraint of the patched-based reconstruction, and compensating residual errors of the reconstruction results both locally and globally to solve the distortion problem in patch-based reconstruction algorithms. Three reconstruction algorithms are compared. The results show that the images reconstructed with the new algorithm have the best quality.
| 源语言 | 英语 |
|---|---|
| 页（从-至） | 394-399 |
| 页数 | 6 |
| 期刊 | Journal of Beijing Institute of Technology (English Edition) |
| 卷 | 22 |
| 期 | 3 |
| 出版状态 | 已出版 - 9月 2013 |