Name
Title | ||
|---|---|---|
Improving salt and pepper noise removal using a fuzzy mathematical morphology-based filter. |
Abstract | ||
|---|---|---|
•An improved FMMOCS (i-FMMOCS) filter for salt and pepper noise in images is presented.•A comparison on 46 images with 20 different noise densities (5–98%) is performed.•i-FMMOCS outperforms other state of the art filters both visually and quantitatively.•Wilcoxon's test ensures a significant superiority from a statistical point of view.•It removes the noise without compromising fine details regardless of the noise density. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.11.030 | Applied Soft Computing |
Keywords | Field | DocType |
Noise reduction,Salt-and-pepper noise,Fuzzy mathematical morphology,T-norm,Residual implication | Noise reduction,Mathematical optimization,Visual comparison,Mathematical Operators,Fuzzy logic,Algorithm,Salt-and-pepper noise,Impulse noise,Pixel,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
63 | C | 1568-4946 |
Citations | PageRank | References |
3 | 0.41 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel González Hidalgo | 1 | 99 | 18.29 |
| Sebastià Massanet | 2 | 438 | 34.95 |
| Arnau Mir | 3 | 59 | 14.40 |
| Daniel Ruiz-Aguilera | 4 | 345 | 25.56 |