Speckle, reduction using wiener filtering in wavelet domain

被引：0

作者：

Rangsanseri, Y ^{[1
]}

Prasongsook, W ^{[1
]}

机构：

[1] King Mongkuts Inst Technol, Fac Engn, Dept Telecommun Engn, Bangkok 10520, Thailand

来源：

ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：792 / 795

页数：4

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