文件名称:Image-Restoration-by-total-variation
- 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：
- 2013-08-31
- 文件大小：
- 4.63mb
- 下载次数：
- 0次
- 提 供 者：
- liu****
- 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
基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错-This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.
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下载文件列表
PriorsTV-Matlab Code-Restoration of multispectral images by total variation with auxiliary image\cg.m
................................................................................................\Compare_demo_1.m
................................................................................................\FP_TV.m
................................................................................................\GenData_IKONOS_1.m
................................................................................................\genH.m
................................................................................................\gradient_norm.m
................................................................................................\Image6\ImageMS.bmp
................................................................................................\......\ImagePAN.bmp
................................................................................................\......\Landsat_20080627_234.bmp
................................................................................................\......\m1.bmp
................................................................................................\......\m2.bmp
................................................................................................\......\m3.bmp
................................................................................................\......\PAN_L.bmp
................................................................................................\......\RGB_h.bmp
................................................................................................\ImgManifest_LeftDown.m
................................................................................................\imshift.m
................................................................................................\integral_op.m
................................................................................................\LASIP_Image_Restoration_DemoBox_v112\Contents.m
................................................................................................\....................................\demo_AnisotropicGradient.m
................................................................................................\....................................\demo_CreateLPAKernels.m
................................................................................................\....................................\demo_CreateMRLPAKernels.m
................................................................................................\....................................\demo_DeblurringGaussian.asv
................................................................................................\....................................\demo_DeblurringGaussian.m
................................................................................................\....................................\demo_DeblurringPoisson.m
................................................................................................\....................................\demo_DenoisingGaussian.m
................................................................................................\....................................\demo_DenoisingSignDepNoise.m
................................................................................................\....................................\demo_InverseHalftoning.m
................................................................................................\....................................\demo_MR_FilteringGaussian.m
................................................................................................\....................................\demo_RecursiveDenoisingGaussian.m
................................................................................................\....................................\function_AnisSect_explorer.m
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