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An unsupervised design method for weighted median filters
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mitsuji, Muneyasu Kousuke, Shiohama Akira, Asano |
| Copyright Year | 2007 |
| Abstract | Estimation of a suitable window shape and appropriate weights in weighted median filters is one of important problems. Hitherto, an unsupervised design method for the filters has been proposed. In this method, a simulated annealing (SA) is applied to design the optimal filter for texture images corrupted by impulse noise, and it has been shown to perform as equally well as a supervised technique. In this paper, we apply a genetic algorithm (GA) and adopt Rank-Ordered Logarithmic Difference (ROLD) statistics as objective function to design a weighted median filter. Through experiments, it was shown that our new approach outperformed compared to conventional methods. |
| Starting Page | 7 |
| Ending Page | 12 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Volume Number | 107 |
| Alternate Webpage(s) | http://racco.mikeneko.jp/Pub/Fulltext/IC054SISA.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
