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

机译:通过使用小波底座的库追求追求子带相干结构的SAR图像中的检测

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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的SAR图像子带相干结构匹配的新的检测方法。将每个子带内的相干结构的迭代追求被组织为使用从基于基础文库中选择的最佳小波基的小波系数的自适应阈值,最小化成本函数。通过在每次迭代中应用逆小波变换来形成处理的图像作为伪图像的累积总和。计算机建模的结果表明,通过所提出的方法获得的增强图像的优化质量在MSE,PSNR,SSIM的不同标准意义上获得。

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