SAR IMAGE SPECKLE REDUCTION ALGORITHM BASED ON SECOND WAVELET PACKET TRANSFORM

被引：1

作者：

Wang, Wen-Bo ^{[1
]}

Li, He-Long ^{[2
]}

Yi, Xu-Ming ^{[3
]}

Fei, Pu-Sheng ^{[3
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Math, Wuhan 430065, Peoples R China

[2] South China Univ Technol, Dept ECommerce, Guangzhou 510006, Peoples R China

[3] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Second wavelet packet; SAR image; Image denoising; LIFTING SCHEME; CONSTRUCTION;

D O I：

10.1109/ICMLC.2009.5212791

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the different characteristics that signal and noise exhibit during the wavelet decomposition, a new denoising method based on the second wavelet packet decomposition is presented. In this paper, by using the best wavelet packet, the synthetic aperture radar (SAR) images are decomposed and the norm of each sub-band is calculated. Then signals and noise can be discriminated and the images can be denoised based on the norm and soft-threshold ways. Experiments show that the proposed algorithm is of excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture detail information. The calculating speed of the method is twice the speed of the general wavelet packet transform algorithm.

引用

页码：3628 / +

页数：2

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