文件名称:eusipco2014code
介绍说明－－下载内容均来自于网络，请自行研究使用
目前非局部均值滤波算法研究比较火热，此程序提供了基础的非局部均值滤波matlab程序。(Currently Non-local means filtering algorithm is relatively hot, this program provides the basis for the non-local mean filter matlab program.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
images
images\test
images\test\baboon.png
images\test\barbara.png
images\test\boat.png
images\test\bridge.png
images\test\cameraman.png
images\test\goldhill.png
images\test\lena.png
images\test\peppers.png
images\train
images\train\sampleMerry_0039_Lasalle.jpg
images\train\samplemerry0135.jpg
images\train\samplemerry0196.jpg
images\train\sampleMerry_0007_Lasalle.jpg
images\train\sampleMerry_0030_Lasalle.jpg
images\train\samplemerry_florida0004.jpg
images\train\samplemerry_florida0034.jpg
images\train\samplemerry_mexico0063.jpg
images\train\samplemerry_mexico0093.jpg
images\train\samplemerry_mexico0123.jpg
images\train\samplemerry_mtl07_019.jpg
images\train\samplepippin0021.jpg
images\train\samplepippin0097.jpg
images\train\samplepippin0223.jpg
images\train\samplepippin0228.jpg
images\train\samplepippin0229.jpg
images\train\samplepippin0289.jpg
images\train\samplepippin_jtalon0002.jpg
images\train\samplepippin_Mex07_011.jpg
images\train\samplepippin_ParcSafari005.jpg
images\train\samplepippin_Peel062.jpg
images\train\samplepippin_UniStrt020.jpg
make
make\inpcore.c
make\inpcore.h
make\inp_mex.c
make\inp_mex.mexa64
make\inp_mex.mexw64
make\make_mex.m
make\mexutils.c
make\mexutils.h
make\myblas.c
make\myblas.c~
make\myblas.h
denoise.m
denoise_mixture.m
dictionary8x8.mat
dictionary_learning.m
hard_threshold.m
ithl1l0_palm.m
ith_l1l0_out.m
l1l0_denoise.m
mymse.m
overlap_add.m
overlap_add_modified.m
palm.m
psnr.m
README.txt
road.m
rold.m
sampling_grid.m
show_basis_vectors.m
ssim_index.m
images\test
images\test\baboon.png
images\test\barbara.png
images\test\boat.png
images\test\bridge.png
images\test\cameraman.png
images\test\goldhill.png
images\test\lena.png
images\test\peppers.png
images\train
images\train\sampleMerry_0039_Lasalle.jpg
images\train\samplemerry0135.jpg
images\train\samplemerry0196.jpg
images\train\sampleMerry_0007_Lasalle.jpg
images\train\sampleMerry_0030_Lasalle.jpg
images\train\samplemerry_florida0004.jpg
images\train\samplemerry_florida0034.jpg
images\train\samplemerry_mexico0063.jpg
images\train\samplemerry_mexico0093.jpg
images\train\samplemerry_mexico0123.jpg
images\train\samplemerry_mtl07_019.jpg
images\train\samplepippin0021.jpg
images\train\samplepippin0097.jpg
images\train\samplepippin0223.jpg
images\train\samplepippin0228.jpg
images\train\samplepippin0229.jpg
images\train\samplepippin0289.jpg
images\train\samplepippin_jtalon0002.jpg
images\train\samplepippin_Mex07_011.jpg
images\train\samplepippin_ParcSafari005.jpg
images\train\samplepippin_Peel062.jpg
images\train\samplepippin_UniStrt020.jpg
make
make\inpcore.c
make\inpcore.h
make\inp_mex.c
make\inp_mex.mexa64
make\inp_mex.mexw64
make\make_mex.m
make\mexutils.c
make\mexutils.h
make\myblas.c
make\myblas.c~
make\myblas.h
denoise.m
denoise_mixture.m
dictionary8x8.mat
dictionary_learning.m
hard_threshold.m
ithl1l0_palm.m
ith_l1l0_out.m
l1l0_denoise.m
mymse.m
overlap_add.m
overlap_add_modified.m
palm.m
psnr.m
README.txt
road.m
rold.m
sampling_grid.m
show_basis_vectors.m
ssim_index.m