Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: image filtering

Sortuj według:

Ogranicz wyniki do:

Nonlinear image processing and filtering: A unified approach based on vertically weighted regression

100%

Rafajłowicz E., Pawlak M., Steland A.

International Journal of Applied Mathematics and Computer Science

2008

tom 18

nr 1

49-61

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.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Pawlak M.

1 Rafajłowicz E.

1 Steland A.

1 2008

Wyniki wyszukiwania

Nonlinear image processing and filtering: A unified approach based on vertically weighted regression