A new approach to identify the nature of the noise affecting an image

Author

Chehdi, K. ; Sabri, M.

Author_Institution

Rennes Univ., Lannion, France

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

285

Abstract

A method for the identification of the nature of noise and estimation of its statistical parameters from only the degraded image is proposed. This then makes it possible to apply the appropriate filtering algorithm. The method is based on the criterion of maximum likelihood in order to detect homogeneous regions, and this makes it possible to identify the nature of the noise. The identification criteria used are based on the analysis of local variations of the average and the standard deviation of the observed image. These statistical parameters are determined uniquely from regions of the image supposed to be homogeneous locally. After the nature of the noise has been identified, the statistical parameters of the noise are estimated

Keywords

image processing; maximum likelihood estimation; noise; parameter estimation; additive noise; degraded image; filtering algorithm; homogeneous regions; impulsive noise; maximum likelihood estimation; multiplicative noise; noise identification; statistical parameters; Additive noise; Biomedical imaging; Degradation; Filtering algorithms; Image analysis; Maximum likelihood detection; Maximum likelihood estimation; Noise level; Pattern recognition; Radar imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226195

Filename

226195