Generalized adaptive vector sigma filters

Author

Lukac, R. ; Smolka, B. ; Plataniotis, K.N. ; Venetsanopoulos, A.N.

Author_Institution

Slovak Image Process. Center, Dobsina, Slovakia

Volume

1

fYear

2003

fDate

6-9 July 2003

Abstract

In this paper we provide a new filtering scheme for the detection and the removal of impulsive noise in digital color images. The proposed adaptive nonlinear vector filters take the advantages of the robust order-statistic theory, generalized directional distance filter and standard sigma filter concept. The principles of the design are explained in detail. Simulation studies indicate that the proposed method is computationally attractive and is able to achieve excellent balance between the image-detail preservation and the noise attenuation.

Keywords

adaptive filters; filtering theory; image colour analysis; image denoising; impulse noise; nonlinear filters; statistical analysis; adaptive nonlinear vector filters; digital color images; directional distance filter; filtering scheme; image-detail preservation; impulsive noise; noise attenuation; robust order-statistic theory; sigma filter; Adaptive filters; Color; Colored noise; Educational institutions; Filtering theory; Image processing; Noise robustness; Nonlinear filters; Strontium; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on

Print_ISBN

0-7803-7965-9

Type

conf

DOI

10.1109/ICME.2003.1220973

Filename

1220973