Name
Abstract | ||
|---|---|---|
A new method for impulse noise removal is presented, where a robust estimator of the variance, MAD (median of the absolute deviations from the median), is modified and used to efficiently separate noisy pixels from the image details. The algorithm is free of varying parameters, requires no previous training or optimization, and successfully removes all types of impulse noise. The pixel-wise MAD concept is straightforward, low in complexity, and achieves high filtering performance. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/LSP.2004.830117 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
image processing,impulse noise,iterative methods,median filters,statistical analysis,filtering performance,impulse noise removal,median filter,pixel-wise MAD,statistics,variance estimation | Median filter,Pattern recognition,Iterative method,Image processing,Salt-and-pepper noise,Filter (signal processing),Robust statistics,Impulse noise,Artificial intelligence,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 7 | 1070-9908 |
Citations | PageRank | References |
89 | 4.32 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir S. Crnojevic | 1 | 186 | 17.82 |
| V. Senk | 2 | 112 | 15.02 |
| Z. Trpovski | 3 | 89 | 4.32 |