Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance. (16th May 2010)
- Record Type:
- Journal Article
- Title:
- Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance. (16th May 2010)
- Main Title:
- Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance
- Authors:
- Crnojević Crnojević, Vladimir Vladimir
Petrović Petrović, Nemanja I. Nemanja I. - Other Names:
- Shao Shao Ling Ling Academic Editor.
- Abstract:
- 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.
- Is Part Of:
- EURASIP journal on advances in signal processing. Volume 2010(2010)
- Journal:
- EURASIP journal on advances in signal processing
- Issue:
- Volume 2010(2010)
- Issue Display:
- Volume 2010, Issue 2010 (2010)
- Year:
- 2010
- Volume:
- 2010
- Issue:
- 2010
- Issue Sort Value:
- 2010-2010-2010-0000
- Page Start:
- Page End:
- Publication Date:
- 2010-05-16
- Subjects:
- Signal processing -- Periodicals
Traitement du signal
Signal processing
Periodicals
621.3822 - Journal URLs:
- https://asp-eurasipjournals.springeropen.com/ ↗
http://link.springer.com/ ↗
http://www.hindawi.com/journals/asp/ ↗ - DOI:
- 10.1155/2010/830702 ↗
- Languages:
- English
- ISSNs:
- 1687-6172
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25228.xml