Name
Title | ||
|---|---|---|
Fusion Despeckling Based on Surface Variation Anisotropic Diffusion Filter and Ratio Image Filter |
Abstract | ||
|---|---|---|
This article proposes a novel fusing filter algorithm based on a surface variation anisotropic diffusion (SVAD) filter and a ratio image filter to achieve good speckle reduction and edge preservation. The proposed algorithm can be divided into three steps. First, the proposed SVAD filter effectively calculates the diffusion coefficient of each pixel to obtain filtering results on different scales. Second, the proposed ratio image filter obtains a new denoising result that can effectively recover some details lost with the SVAD filter. Then, the two filtering results are fused to obtain the final despeckling result. Furthermore, the effects of the weighting coefficients of the fusion processing and the number of iterations of the ratio image filter on the final filtering results are analyzed. The proposed algorithm is effectively evaluated by conducting some experiments on the added noise image and real synthetic aperture radar (SAR) images. The experimental results confirm that the proposed method can not only significantly reduce speckle but also effectively preserve the edge information of images. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TGRS.2019.2948890 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Anisotropic diffusion (AD),ratio image filter,speckle reduction,surface variation | Journal | 58 |
Issue | ISSN | Citations |
4 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengcheng Guo | 1 | 0 | 1.69 |
| Guo Zhang | 2 | 0 | 10.48 |
| Qingjun Zhang | 3 | 49 | 16.84 |
| Ruishan Zhao | 4 | 0 | 1.01 |
| Mingjun Deng | 5 | 21 | 4.63 |
| Kai Xu | 6 | 17 | 4.45 |
| Peng Jia | 7 | 0 | 2.70 |
| Xiaoyun Hao | 8 | 0 | 1.69 |