Name
Abstract | ||
|---|---|---|
A new impulse noise detection technique for switching median filters is presented, which is based on the minimum absolute value of four convolutions obtained using one-dimensional Laplacian operators. Extensive simulations show that the proposed filter provides better performance than many of the existing switching median filters with comparable computational complexity. In particular, the proposed filter is directed toward improved line preservation. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/LSP.2002.805310 | Signal Processing Letters, IEEE |
Keywords | DocType | Volume |
median filters,line preservation,impulse noise,convolution,image details preservation,impulse detector,image restoration,computational complexity,filtering theory,one-dimensional laplacian operators,impulse noise detection,switching median filters,median filter | Journal | 9 |
Issue | ISSN | Citations |
11 | 1070-9908 | 182 |
PageRank | References | Authors |
12.49 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuqun Zhang | 1 | 229 | 18.67 |
| M. A. Karim | 2 | 298 | 35.59 |