Abstract
Images captured in foggy weather condition exhibit losses in quality due to atmospheric particles. A novel single image fog removal method was proposed using improved atmospheric veil inpainting. At first, the atmospheric scattering model was simplified, and the coarser atmospheric veil estimate was refined using guided filter approach that improved atmospheric veil inpainting. Then a semi-inverse method of the fog image was produced to estimate the Airlight accurately. Finally, the fog-free image could be recovered by solve imaging physical equation of atmospheric scattering model. Results demonstrate the power of the proposed method performs as an edge-preserving smoothing operator and achieves a great improvement in image visibility.
| Original language | English |
|---|---|
| Pages (from-to) | 389-393 |
| Number of pages | 5 |
| Journal | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) |
| Volume | 43 |
| Issue number | SUPPL.1 |
| Publication status | Published - Mar 2013 |
Keywords
- Computer application
- Guided filter
- Image fog removal
- Semi-inverse