Name
Abstract | ||
|---|---|---|
According to the characteristic of pepper-and-salt noise, the authors first classify pixels in a polluted image into two classes: suspected noise and noise-free pixels. For a suspected noisy pixel, by counting the number of closed grey-level and noise-free pixels in a neighbourhood, one can correctly determine a noise or a noise-free pixel. Noise filtering does not process noise-free pixels. For t... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-ipr.2016.0692 | IET Image Processing |
Keywords | Field | DocType |
image classification,image colour analysis,image denoising,image filtering | Computer vision,Weighting,Adaptive filtering algorithm,Pattern recognition,Filter (signal processing),Euler's formula,Pixel,Artificial intelligence,Adaptive algorithm,Noise removal,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 9 | 1751-9659 |
Citations | PageRank | References |
2 | 0.37 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiangqiang Chen | 1 | 2 | 0.37 |
| Mao-Hsiung Hung | 2 | 43 | 6.89 |
| Fumin Zou | 3 | 3 | 7.16 |