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文章介绍了合成孔径雷达图象处理的各种方法.斑点噪声的去除,图象分割的算法,以及压缩,去噪等内容.大家可以共同参考.-article on the synthetic aperture radar image processing of the various methods. Speckle removal, Image segmentation algorithms, and compression, such as denoising. We can common reference.
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实现Matlab的SRAD(Speckle Reducing Anisotropic Diffusion)算法，用于超声图像的去噪。-Matlab implementation of the SRAD (Speckle Reducing Anisotropic Diffusion) algorithm for ultrasound image denoising.
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超声图像去噪，基于小波变换的通用超声图像去噪，能够有效的去除相干斑-Ultrasound image denoising based on wavelet transform common ultrasound image denoising, can effectively remove speckle
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用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。-Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle sup
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vc6.0实现SRAD算法，即各向异性去斑噪算法，实现对图像的平滑去噪。在去除噪声的同时保持并增强了图像中目标的边缘。-vc6.0 realize SRAD algorithm, namely anisotropic speckle noise algorithm, to achieve image denoising smoothing. Remove the noise, while maintaining and enhancing the edge of the target image
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Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。-Functions for Matlab for the denoising of a SAR image corrupted
by multiplicative speckle noise with the technique described in
"A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinka
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关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）-This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set)
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BM3D的程序，基于最小均方误差准则。很好用-Date released 1/08/2012, version 0.1.
Functions for Matlab for the denoising of a SAR image corrupted
by multiplicative speckle noise with the technique described in
A Nonlocal SAR Image Denoising Algorithm Based on LLM
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usefull function to calculat ENL in SAR image denoising ,we computed the equivalent
number of looks (ENL), a standard parameter widely used in the remote sensing community which measures the speckle reduction
in homogeneous areas. with some SAR i
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在matlab平台上，使用多尺度curvelet变换，对SAR图像的相干斑噪声进行抑制，
先将图像进行对数变换，把相干斑乘性噪声转换为加性噪声，然后使用一种有效的阈值去噪方法，很好的抑制了相干斑噪声，效果不错。(On the MATLAB platform, the multiscale curvelet transform is used to suppress the speckle noise of the SAR image.
First, transform the image t
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