Name
Abstract | ||
|---|---|---|
Coherent imaging systems are greatly affected by speckle noise, which makes visual analysis and features extraction a difficult task. In this paper, we propose a speckle suppression algorithm based on weighted nuclear norm minimization (WNNM) and Grey theory. First, we use logarithmic transformation to the noisy images such that the speckle noise is transformed into additive noise. Second, by matching the local blocks based on Grey theory, we will get approximate low-rank matrices grouped by the similar blocks of the reference patches. We then estimate the noise variance of the noisy images with the wavelet transform. Finally, we use WNNM method to denoise the image. The results show that our algorithm not only effectively improves the visual effect of the denoised image and preserves the local structure of the image better but also improves the objective indexes values of the denoised image. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2018.2876339 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Speckle,Noise reduction,Transforms,Remote sensing,Noise measurement,Matrix decomposition,Minimization | Noise reduction,Computer vision,Noise measurement,Pattern recognition,Data transformation (statistics),Speckle pattern,Matrix decomposition,Minification,Artificial intelligence,Speckle noise,Mathematics,Wavelet transform | Journal |
Volume | Issue | ISSN |
57 | 5 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuaiqi Liu | 1 | 54 | 11.09 |
| Qi Hu | 2 | 4 | 2.08 |
| Peng-Fei Li | 3 | 56 | 20.94 |
| jie zhao | 4 | 16 | 3.27 |
| Ming Liu | 5 | 276 | 50.00 |
| Zhihui Zhu | 6 | 121 | 25.37 |