文件名称:augmented-Lagrangian-
- 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：
- 2013-10-29
- 文件大小：
- 385kb
- 下载次数：
- 0次
- 提 供 者：
- m***
- 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
利用增广拉格朗日的方法，对图像进行去噪，包含各种去噪、去模糊以及Inpainting方法，改进的算法能够快速、有效的处理图像-Using the augmented Lagrangian method for image denoising, contains a variety of de-noising, go fuzzy and Inpainting method, the improved algorithm can quickly and effectively deal with image
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下载文件列表
SALSA_v1.0\SALSA_v1.0
..........\..........\utils
..........\..........\.....\SplitBregmanROF.c
..........\..........\.....\cameraman.tif
..........\..........\.....\splitBregmanROF.dll
..........\..........\.....\wrapper_Atcount.m
..........\..........\src
..........\..........\...\SALSA.m
..........\..........\README.txt
..........\..........\experiments
..........\..........\...........\Unconstrained
..........\..........\...........\.............\MRIrecon
..........\..........\...........\.............\demo_inpainting_TV.m
..........\..........\...........\Constrained
..........\..........\...........\...........\rectanglesTV
..........\..........\...........\...........\............\demo_rectangles_TV.m
..........\..........\...........\...........\deblurringl1_redundant
..........\..........\...........\...........\......................\demo_deblurring_l1_expt1.m
..........\..........\...........\...........\......................\A_wrapper.m
..........\..........\...........\...........\MRIrecon
..........\..........\...........\...........\........\fft2c.m
..........\..........\...........\...........\........\Bt_fhp.m
..........\..........\...........\...........\deblurringTV
..........\..........\...........\...........\............\demo_deblurring_TV_expt1.m
..........\..........\...........\...........\missingdata
..........\..........\demos
..........\..........\.....\Constrained
..........\..........\.....\...........\MRIrecon
..........\..........\.....\...........\........\fft2c.m
..........\..........\.....\Unconstrained
..........\..........\.....\.............\demo_inpainting_TV.m
..........\..........\.....\.............\MRIrecon
..........\..........\.....\.............\........\demo_MRI.m
..........\..........\utils\Core_Nesterov.m
..........\..........\.....\spgl1.m
..........\..........\.....\mex_vartotale.dll
..........\..........\.....\NESTA.m
..........\..........\.....\tvdenoising.m
..........\..........\.....\my_fista.m
..........\..........\.....\my_deblur_fista.m
..........\..........\.....\conv2c.m
..........\..........\.....\my_fista_l1.m
..........\..........\.....\wrapper_Acount.m
..........\..........\.....\monotonize.m
..........\..........\.....\cshift.m
..........\..........\.....\A_wrapper.m
..........\..........\.....\mirdwt_TI2D.m
..........\..........\.....\projk.m
..........\..........\.....\mrdwt_TI2D.m
..........\..........\.....\diffh.m
..........\..........\.....\diffv.m
..........\..........\.....\TVnorm.m
..........\..........\src\csalsa.m
..........\..........\experiments\Unconstrained\MRIrecon\demo_MRI.m
..........\..........\...........\.............\........\LineMask.m
..........\..........\...........\.............\........\fft2c.m
..........\..........\...........\.............\........\ifft2c.m
..........\..........\...........\.............\........\masked_FFT_t.m
..........\..........\...........\.............\........\masked_FFT.m
..........\..........\...........\.............\demo_deblurring_TV.m
..........\..........\...........\.............\demo_deblurring_l1_redundant.m
..........\..........\...........\Constrained\deblurringl1_redundant\demo_deblurringl1_analysis_expt1.m
..........\..........\...........\...........\MRIrecon\demo_MRI.m
..........\..........\...........\...........\........\LineMask.m
..........\..........\...........\...........\........\ifft2c.m
..........\..........\...........\...........\........\masked_FFT_t.m
..........\..........\...........\...........\........\B_fhp.m
..........\..........\...........\...........\........\A_fhp.m
..........\..........\...........\...........\........\At_fhp.m
..........\..........\...........\...........\........\masked_FFT.m
..........\..........\...........\...........\missingdata\demo_missing_pixels.m
..........\..........\demos\Constrained\MRIrecon\demo_MRI.m
..........\..........\.....\...........\........\masked_FFT.m
..........\..........\.....\...........\........\LineMask.m
..........\..........\.....\...........\........\ifft2c.m
..........\..........\.....\...........\........\mas