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KSVD-for-SAR_LOG

于 2012-03-16 发布 文件大小:11793KB
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代码说明：

  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。(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 suppression method, this method is much more effective.)

文件列表：

KSVD for SAR_LOG
................\baboon.raw,262144,2006-11-01

................\barb.raw,262144,1998-02-21

................\barbara.raw,262144,2006-06-28

................\barton.raw,167936,1998-02-21


................\canaletto.raw,262144,1998-02-21
................\coifman.raw,65536,1998-02-21
................\daubechies.raw,65536,1998-02-21
................\demo.m,7473,2011-10-19
................\demo2.asv,7456,2011-05-22
................\denoiseImageDCT.asv,5426,2010-11-06
................\denoiseImageDCT.m,5426,2007-01-24
................\denoiseImageGlobal.m,6046,2006-12-12
................\denoiseImageKSVD.asv,9308,2010-11-03
................\denoiseImageKSVD.m,9319,2011-04-28
................\displayDictionaryElementsAsImage.asv,3246,2007-01-25
................\displayDictionaryElementsAsImage.m,3224,2007-01-25
................\esi.m,1042,2011-05-10
................\finger.raw,262144,1998-10-14
................\fingerprint.png,184561,2002-01-08
................\fingerprint.raw,262144,1998-02-21
................\flinstones.png,174997,2001-07-14
................\func_ReadRaw.m,755,2011-01-23
................\gererateSyntheticDictionaryAndData.m,1896,2006-12-11
................\globalTrainedDictionary.mat,5749450,2005-09-21
................\goldhill.raw,262144,2006-10-23
................\house.png,34985,2002-08-29
................\KSVD.asv,12309,2010-09-03
................\KSVD.m,12380,2010-09-03
................\KSVD_NN.m,11585,2006-12-28
................\lena.png,151199,2005-09-11
................\lena.raw,262144,2006-09-08
................\lena1.png,38856,2009-10-13
................\lena_15a.bmp,263222,2010-10-12
................\lenna.raw,65536,1998-02-21
................\lincoln.raw,4096,1998-02-21
................\MOD.m,8053,2006-12-12
................\mriscan.raw,65536,1998-02-21
................\MSSIM.m,491,2011-03-06
................\my_im2col.m,631,2006-12-11
................\NN_BP.m,1105,2006-12-24
................\OMP.m,954,2007-04-29
................\OMPerr.m,1083,2006-12-11
................\peppers256.png,40181,2002-08-29
................\pointEnhance.m,1542,2010-08-20
................\R.m,812,2011-05-10
................\README.txt,4802,2006-12-28
................\sar1.bmp,59081,2010-11-18
................\sar2.bmp,196662,2010-11-18
................\sar3.bmp,66614,2010-11-18
................\sar31.bmp,259100,2010-11-18
................\sar32.bmp,343016,2010-11-18
................\sar4.bmp,23426,2010-11-18
................\sar6.bmp,93199,2010-11-18
................\sar61.bmp,94583,2010-11-18
................\sar62.bmp,123253,2010-11-18
................\small.jpg,41504,2011-01-10
................\SSIM.m,625,2011-03-06
................\washington.bmp,348660,2010-11-18
................\xsarmodel1.bmp,1337302,2010-11-18

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    2015-01-25 21:16:46下载
    积分：1
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    2018-10-08下载
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    说明：  国外一个博士写的图像复原的源码 ，基于自适应的正则化的全变分图像复原，源码内有作者的主页，相应文章可以下载。代码测试，可用，效果不错 ，做这方面的同志可以下来看看 (Dr. written by a foreign source image restoration based on adaptive regularization total variation image restoration, source inside of the home page, the corresponding articles can be downloaded. Code test, available, good results, so this could be down to see Comrade)
    2010-05-04 13:35:52下载
    积分：1
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    利用光流法在复杂场景下对运动目标进行检测(Using the optical flow method to detect moving objects in complex scenes)
    2017-08-17 18:46:31下载
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