Fast local SAR image despeckling by edge-avoiding wavelets

被引：5
作者：
Erer, Isin [1 ]
Kaplan, Nur Huseyin [2 ]
机构：
[1] Istanbul Tech Univ, Elect & Commun Engn Dept, TR-34469 Istanbul, Turkey
[2] Erzurum Tech Univ, Dept Elect & Elect Engn, TR-25050 Erzurum, Turkey
来源：
SIGNAL IMAGE AND VIDEO PROCESSING | 2019年 / 13卷 / 06期
关键词：
Synthetic aperture radar; Image despeckling; Edge-avoiding wavelets; Image processing; SPECKLE REDUCTION; ENHANCEMENT;
D O I：
10.1007/s11760-019-01446-z
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a local despeckling algorithm based on a trous version of edge-avoiding wavelets for synthetic aperture radar images is proposed. Edge-avoiding wavelets provide the decomposition of the input image into several detail layers and a residual image which corresponds to the despeckled result by means of weighted a trous wavelet transform. The weight function is similar to the range kernel of the well-known bilateral filter and is determined by enhancing evaluation indexes. Visual and quantitative comparisons validate the performance of the proposed method in terms of both speckle reduction and edge preservation ability.
引用
收藏
页码：1071 / 1078
页数：8
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