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Despeckling in SAR images by matching pursuit of subband coherent structures using the library of wavelet bases

机译:通过使用小波库匹配匹配子带相干结构来对SAR图像进行去斑

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摘要

A new despeckling method based on matching pursuit of subband coherent structures of a wavelet-decomposed SAR image is suggested. The iterative pursuit of coherent structures within each subband is organized as an adaptive thresholding of wavelet coefficients using the best wavelet basis chosen from the library of bases minimizing the cost function. The processed image is formed as the cumulative sum of the pseudo images computed by applying of inverse wavelet transform within each iteration. The results of computer modeling have shown the superb quality of the enhanced images obtained by the proposed method in the sense of different criteria as MSE, PSNR, SSIM.
机译:提出了一种基于小波分解SAR图像子带相干结构匹配追求的去斑方法。每个子带内相干结构的迭代追求被组织为小波系数的自适应阈值处理,使用从库中选择的最佳小波基来使成本函数最小化。经处理的图像形成为通过在每次迭代中应用逆小波变换而计算出的伪图像的累积和。计算机建模的结果表明,在不同标准(例如MSE,PSNR,SSIM)的意义上,通过该方法获得的增强图像具有出色的质量。

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