Outlier robust corner-preserving methods for reconstructing noisy images
Guardat en:
| Publicat a: | arXiv.org (Aug 3, 2007), p. n/a |
|---|---|
| Autor principal: | |
| Altres autors: | |
| Publicat: |
Cornell University Library, arXiv.org
|
| Matèries: | |
| Accés en línia: | Citation/Abstract Full text outside of ProQuest |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
| Resum: | The ability to remove a large amount of noise and the ability to preserve most structure are desirable properties of an image smoother. Unfortunately, they usually seem to be at odds with each other; one can only improve one property at the cost of the other. By combining M-smoothing and least-squares-trimming, the TM-smoother is introduced as a means to unify corner-preserving properties and outlier robustness. To identify edge- and corner-preserving properties, a new theory based on differential geometry is developed. Further, robustness concepts are transferred to image processing. In two examples, the TM-smoother outperforms other corner-preserving smoothers. A software package containing both the TM- and the M-smoother can be downloaded from the Internet. |
|---|---|
| ISSN: | 2331-8422 |
| DOI: | 10.1214/009053606000001109 |
| Font: | Engineering Database |