基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑我要分享

SAR image speckle suppression in logarithmic domain based on sparse representation and ksvd dictiona

学习字典 KSVD图像 SAR-稀疏表示 字典学习去噪 sar-稀疏

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文件大小: 11793KB

代码分类: 图像处理

开发平台: matlab

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代码描述

中文说明:

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。


English Description:

Compared with some classical SAR image speckle suppression methods, the speckle suppression effect of this method is greatly improved.


代码预览

KSVD for SAR_LOG

................\baboon.raw

................\barb.raw

................\barbara.raw

................\barton.raw

................\canaletto.raw

................\coifman.raw

................\daubechies.raw

................\demo.m

................\demo2.asv

................\denoiseImageDCT.asv

................\denoiseImageDCT.m

................\denoiseImageGlobal.m

................\denoiseImageKSVD.asv

................\denoiseImageKSVD.m

................\displayDictionaryElementsAsImage.asv

................\displayDictionaryElementsAsImage.m

................\esi.m

................\finger.raw

................\fingerprint.png

................\fingerprint.raw

................\flinstones.png

................\func_ReadRaw.m

................\gererateSyntheticDictionaryAndData.m

................\globalTrainedDictionary.mat

................\goldhill.raw

................\house.png

................\KSVD.asv

................\KSVD.m

................\KSVD_NN.m

................\lena.png

................\lena.raw

................\lena1.png

................\lena_15a.bmp

................\lenna.raw

................\lincoln.raw

................\MOD.m

................\mriscan.raw

................\MSSIM.m

................\my_im2col.m

................\NN_BP.m

................\OMP.m

................\OMPerr.m

................\peppers256.png

................\pointEnhance.m

................\R.m

................\README.txt

................\sar1.bmp

................\sar2.bmp

................\sar3.bmp

................\sar31.bmp

................\sar32.bmp

................\sar4.bmp

................\sar6.bmp

................\sar61.bmp

................\sar62.bmp

................\small.jpg

................\SSIM.m

................\washington.bmp

................\xsarmodel1.bmp