Description: Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain on the SAR image or plaque, this method is compared with some of the classic SAR image speckle suppression method, or plaque effect is greatly improved
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KSVD for SAR_LOG\baboon.raw
................\Baboon512rgb.png
................\barb.raw
................\barbara.png
................\barbara.raw
................\barco.png
................\barton.raw
................\boat.png
................\Cameraman256.png
................\canaletto.raw
................\coifman.raw
................\daubechies.raw
................\demo2.asv
................\demo.m
................\denoiseImageDCT.asv
................\denoiseImageDCT.m
................\denoiseImageGlobal.m
................\denoiseImageKSVD.asv
................\denoiseImageKSVD.m
................\displayDictionaryElementsAsImage.asv
................\displayDictionaryElementsAsImage.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
................\README.txt
................\small.jpg
................\SSIM.m
................\xsarmodel1.bmp
................\sar1.bmp
................\sar2.bmp
................\sar3.bmp
................\sar31.bmp
................\sar32.bmp
................\sar4.bmp
................\sar6.bmp
................\sar61.bmp
................\sar62.bmp
................\washington.bmp
................\pointEnhance.m
................\esi.m
................\R.m
KSVD for SAR_LOG
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