Patch ordering based SAR image despeckling via SSC and wavelet thresholding

Neenu Jose, R. Ramesh
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引用次数: 1

Abstract

In recent years, variety of techniques were developed in the field of SAR image despeckling, which avail to inhibit the Speckle in SAR Image. This paper proposes a patch ordering based SAR image despeckling approaches, which uses two transform domain filtering. The proposed approach consists of two stage filtering. In the first step i.e. coarse filtering, denoising is done by simultaneous Sparse Coding (SSC). The diminutive artifacts engendered by the coarse filtering can be removed by second stage of filtering i.e. refined filtering. In this step, filtered image is obtained by Wavelet Hard thresholding. Experimental results showed that the proposed system achieves good Structural similarity Index Measure (SSIM), Peak Signal to Noise Ratio (PSNR) values for despeckled images.
基于小波阈值和SSC的SAR图像去斑算法
近年来,在SAR图像去斑领域发展了多种技术,用于抑制SAR图像中的斑点。本文提出了一种基于补丁排序的SAR图像去斑方法,该方法采用两次变换域滤波。该方法由两阶段滤波组成。在第一步即粗滤波中,通过同步稀疏编码(SSC)进行去噪。粗滤波产生的小伪影可以通过第二阶段滤波即精细滤波去除。在这一步中,通过小波硬阈值分割得到滤波后的图像。实验结果表明,该系统对去斑点图像具有较好的结构相似度指标(SSIM)和峰值信噪比(PSNR)值。
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