Creator:

Rafajłowicz, Ewaryst (1953- ) ; Pawlak, Mirosław ; Steland, Angsar

Contributor:

Kummert, Anton - ed. ; Rafajłowicz, Ewaryst - ed.

Title:

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

Subtitle:

.

Group publication title:

AMCS, volume 18 (2008)

Subject and Keywords:

image filtering ; vertically weighted regression ; nonlinear filters

Abstract:

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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2008

Resource Type:

artykuł

DOI:

10.2478/v10006-008-0005-z

Pages:

49-61

Source:

AMCS, volume 18, number 1 (2008) ; kliknij tutaj, żeby przejść

Language:

eng

License CC BY 4.0:

kliknij tutaj, żeby przejść

Rights:

Biblioteka Uniwersytetu Zielonogórskiego