文件名称:KSVD-for-SAR_LOG
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 11.52mb
- 下载次数：
- 0次
- 提 供 者：
- y***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
................\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