Name
Abstract | ||
|---|---|---|
We present two effective algorithms for removing impulse noise from color images. Our proposed algorithms take a two-step approach: in the first step, noise color pixel candidates are identified by an impulse detector, and in the second step, only those identified noise candidates in the image are restored by using a modified weighted vector median filter. Extensive experiments indicate that our proposed algorithms have good performance, and are more effective than most of the existing algorithms in removing impulse noise from color images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-68345-4_19 | COMPUTER VISION SYSTEMS, ICVS 2017 |
Keywords | Field | DocType |
Color image, Denoising, Impulse noise, Vector median filter | Noise reduction,Computer vision,Median filter,Color histogram,Computer science,Non-local means,Algorithm,Pixel,Impulse noise,Artificial intelligence,Video denoising,Color image | Conference |
Volume | ISSN | Citations |
10528 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Zhang | 1 | 595 | 112.97 |
| Jian-Li Zhang | 2 | 0 | 0.68 |
| meng gao | 3 | 10 | 5.27 |