Name
Abstract | ||
|---|---|---|
It is often difficult and essential to distinguish between focused and de-focused structures in an image. To properly handle such structures, an image fusion technique is developed for multifocus images using high level discrete wavelet components and guided filter. The source images are decomposed using wavelet transform and high level components are processed using gradient magnitude and guided filters to obtain fusion weights to refine the fusion process. Variety of images obtained from standard datasets are used in the simulations to test performance of proposed technique. The fused image obtained using proposed technique outperforms visually and quantitatively as compared to existing techniques. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11042-020-08661-8 | Multimedia Tools and Applications |
Keywords | DocType | Volume |
Image fusion, Gradients, Guided filter, Majority filter, Weight map | Journal | 79 |
Issue | ISSN | Citations |
19 | 1380-7501 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Munawwar Iqbal Ch | 1 | 1 | 0.36 |
| Muhammad Mohsin Riaz | 2 | 475 | 86.44 |
| Naima Iltaf | 3 | 42 | 7.64 |
| Abdul Ghafoor | 4 | 179 | 40.85 |
| Syed Sohaib Ali | 5 | 8 | 6.98 |