Automatic identification of noises for an optimal filtering

Author

Chehdi, K.

Author_Institution

ENSSAT, Rennes Univ., Lannion, France

Volume

2

fYear

1993

fDate

19-21 May 1993

Firstpage

474

Abstract

The author proposes a method which allows detection of the additive, multiplicative, or impulsive nature of noise by decision criteria from the degraded image. This method is based on the analysis of local variations of the average and of the standard deviation estimated on the homogeneous regions of the observed image. In the case where additive or multiplicative noise is detected, its statistical parameters are estimated from the local variations determined in the identification phase. This makes it possible to apply the best adapted filtering algorithms to the image to be processed

Keywords

adaptive filters; image processing; noise; parameter estimation; additive noise; analysis of local variations; average; best adapted filtering algorithms; decision criteria; degraded image; identification phase; impulsive noise; multiplicative noise; optimal filtering; standard deviation; statistical parameters; Additive noise; Degradation; Filtering algorithms; Image analysis; Parameter estimation; Phase detection; Phase noise; Random variables; Standards development; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0971-5

Type

conf

DOI

10.1109/PACRIM.1993.407318

Filename

407318