Adaptive filters for colour image processing

Author

Papanikolaou, V. ; Plataniotis, K.N. ; Venetsanopoulos, A.N.

Author_Institution

Toronto Univ., Ont., Canada

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

275

Abstract

The colour filters that are used to attenuate noise are usually optimized to perform extremely well when dealing with certain noise distributions. Unfortunately it is often the case that the noise corrupting the image is not known. It is thus beneficial to know a priori the type of noise corrupting the image in order to select the optimal filter. Characterizing the noise within a digital colour image using the generalized Gaussian probability density function (PDF) is presented. Simulation results are included to demonstrate the effectiveness of the proposed methodology

Keywords

Gaussian distribution; Gaussian noise; adaptive filters; adaptive signal processing; filtering theory; image colour analysis; adaptive filters; colour filters; colour image processing; digital colour image; generalized Gaussian probability density function; noise attenuation; noise distributions; optimal filter; simulation results; Adaptive filters; Color; Colored noise; Digital filters; Digital images; Gaussian noise; Image processing; Laboratories; Noise figure; Shape control;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628060

Filename

628060