Name
Abstract | ||
|---|---|---|
A novel method for impulse noise suppression in images, based on the pixel-wise S-estimator, is introduced. The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not require a location estimate and hence is more appropriate for asymmetric distributions, frequently encountered in transient regions of the image. The proposed computationally efficient modification of a robust S-estimator of variance is successfully utilized in iterative scheme for impulse noise filtering. Another novelty is that the proposed iterative algorithm has automatic stopping criteria, also based on the pixel-wise S-estimator. Performances of the proposed filter are independent of the image content or noise concentration. The proposed filter outperforms all state-of-the-art filters included in a large comparison, both objectively (in terms of PSNR and MSSIM) and subjectively. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1155/2010/830702 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
impulse noise | Median filter,Noise measurement,Computer science,Salt-and-pepper noise,Impulse noise,Artificial intelligence,Computer vision,Iterative method,Filter (signal processing),Algorithm,Image noise,Speech recognition,Pixel | Journal |
Volume | Issue | ISSN |
2010, | 1 | 1687-6180 |
Citations | PageRank | References |
4 | 0.48 | 28 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir S. Crnojevic | 1 | 186 | 17.82 |
| Nemanja I. Petrović | 2 | 8 | 0.94 |