Name
Abstract | ||
|---|---|---|
In this paper, we present a minimum-maximum exclusive weighted-mean filtering algorithm with adaptive window. Image pixels within the varying size of the window are ranked and classified as minimum-maximum and median levels, and then passed through the weighted-mean of median level and identity filters, respectively. The filtering window size is adaptively increasing according to noise ratio without noise measurement. Extensive simulations show that the proposed filter performs better than other median/rank-type filters in removing impulse noise of highly corrupted images. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1093/ietfec/e88-a.9.2451 | IEICE Transactions |
Keywords | DocType | Volume |
median filter, rank-order filter, impulse noise | Journal | E88-A |
Issue | ISSN | Citations |
9 | 1745-1337 | 4 |
PageRank | References | Authors |
0.53 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinsung Oh | 1 | 32 | 4.91 |
| Changhoon Lee | 2 | 4 | 0.53 |
| Younam Kim | 3 | 8 | 1.36 |