- Tytuł:
- Nonlinear image processing and filtering: a unified approach based on vertically weighted regression
- Autorzy:
-
Rafajłowicz, E.
Pawlak, M.
Steland, A. - Powiązania:
- https://bibliotekanauki.pl/articles/908044.pdf
- Data publikacji:
- 2008
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
filtr nieliniowy
filtracja obrazu
regresja ważona
image filtering
vertically weighted regression
nonlinear filters - Opis:
- A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by a structure of three interconnected radial basis function (RBF) networks. We also assess the performance of the algorithm by studying industrial images.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2008, 18, 1; 49-61
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł