Speckle reduction using Wiener filtering in wavelet domain

Rangsanseri, Y.; Prasongsook, W.

doi:10.1109/ICONIP.2002.1198167

Speckle reduction using Wiener filtering in wavelet domain

Author(s)

Rangsanseri, Y.

Prasongsook, W.

Date Issued

January 1, 2002

Type

Conference Paper

DOI

10.1109/ICONIP.2002.1198167

Abstract

In this paper, we propose an algorithm for speckle reduction based on the stationary wavelet transform (SWT) For each high-frequency subbands, Wiener filtering is performed within a neighborhood around each data point. Thus, local characteristic of wavelet coefficients is exploited. The despeckled image is obtained by reconstruction from the filtered coefficients. Experimental results on JERS-1/SAR image showed that the proposed method performs better than wavelet thresholding, visually and quantitatively.

Citation

Iconip 2002 Proceedings of the 9th International Conference on Neural Information Processing Computational Intelligence for the E Age, 2, 292-295, 2002