Name
Abstract | ||
|---|---|---|
To overcome the drawbacks of existing filters for salt and pepper noises, an adaptive probability filter is proposed. For an image, it detects salt and pepper noises based on the characteristic of minimum and maximum intensity values of the images, as well as the distribution of noise. If the noise-free intensities in neighbourhood repeat with a certain probability, the noise-free intensity with h... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0910 | IET Image Processing |
Keywords | Field | DocType |
adaptive filters,image denoising,image enhancement,image resolution,object detection,probability,statistical analysis | Computer vision,Peak signal-to-noise ratio,Pattern recognition,Pepper,Artificial intelligence,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 6 | 1751-9659 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiayi Chen | 1 | 1 | 0.35 |
| Yinwei Zhan | 2 | 1 | 1.02 |
| Huiying Cao | 3 | 1 | 0.68 |
| Xingda Wu | 4 | 1 | 0.35 |