Name
Abstract | ||
|---|---|---|
Rain image enhancement is important for outdoor computer vision applications. In this study, the authors propose a multi-stage filtering method for single rainy image enhancement. It is based on their new rainy image model, and consists of two main operations: rain streaks removal and rain fog removal. For rain streaks removal, based on one key observation that the low-pass version of a rainy imag... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1022 | IET Image Processing |
Keywords | Field | DocType |
image filtering,image enhancement,computer vision,low-pass filters,Gaussian processes | Gaussian filter,Computer vision,Pattern recognition,Filter (signal processing),Communication channel,Artificial intelligence,Subtraction,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
12 | 10 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenghao Shi | 1 | 48 | 14.53 |
| Yaowei Li | 2 | 0 | 0.34 |
| Minghua Zhao | 3 | 33 | 15.77 |
| Yaning Feng | 4 | 5 | 2.09 |
| Lifeng He | 5 | 441 | 40.97 |