X-ray analysis of lake sedimentary patterns using nonlinear regularization filter

Author

Kang, Moon Gi ; Johnson, Thomas C.

Author_Institution

Dept. of Electr. & Comput. Eng., Minnesota Univ., Duluth, MN, USA

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

773

Abstract

Laminated sediments from lakes are of great interest to paleoclimatologists interested in high resolution records of past climate change. Laminated sediments from Lake Malawi in East Africa are investigated by X-ray analysis. Due to the physical nature of sediments, X-ray images having penetrated through sediments are corrupted by signal dependent nonstationary noise, which affects the accuracy and precision of time-series and the spectral analysis of patterns. Therefore, a nonlinear pre-filtering algorithm is proposed to suppress the noise, so that more stable and reliable analysis can be obtained. The algorithm is based on the generalized weighted regularization

Keywords

X-ray analysis; X-ray imaging; climatology; filtering theory; geophysical signal processing; image resolution; lakes; noise; nonlinear filters; sediments; East Africa; Lake Malawi; X-ray analysis; algorithm; generalized weighted regularization; high resolution records; lake sedimentary patterns; laminated sediments; noise suppression; nonlinear prefiltering algorithm; nonlinear regularization filter; past climate change; signal dependent nonstationary noise; spectral analysis; time-series; Additive noise; Filters; Image analysis; Lakes; Mathematical model; Pattern analysis; Sediments; Smoothing methods; Spectral analysis; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559613

Filename

559613