文件名称:FreqDomain_imagEnhanc_and_imagRestore
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
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
Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise
相关搜索： image
restoration
gaussian
filter
high
pass
filter
weiner
Weiner
filter
using
MATLAB
lowpass
filter
matlab
image
original_DIP
tif
matlab
image
filter
fourier
matlab
restoration
gaussian
filter
high
pass
filter
weiner
Weiner
filter
using
MATLAB
lowpass
filter
matlab
image
original_DIP
tif
matlab
image
filter
fourier
matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
FreqDomain_imagEnhanc_and_imagRestore
.....................................\Fig0427(a)(woman).tif
.....................................\Fig0441(a)(characters_test_pattern).tif
.....................................\Fig0457(a)(thumb_print).tif
.....................................\Fig0458(a)(blurry_moon).tif
.....................................\Fig0507(a)(ckt-board-orig).tif
.....................................\Fig0526(a)(original_DIP).tif
.....................................\fourier1.m
.....................................\gaussianhighpass.m
.....................................\gaussianlowpass.m
.....................................\gaussiannoise.m
.....................................\saltandpeppermedian.asv
.....................................\saltandpeppermedian.m
.....................................\wienerfilter.m
.....................................\Fig0427(a)(woman).tif
.....................................\Fig0441(a)(characters_test_pattern).tif
.....................................\Fig0457(a)(thumb_print).tif
.....................................\Fig0458(a)(blurry_moon).tif
.....................................\Fig0507(a)(ckt-board-orig).tif
.....................................\Fig0526(a)(original_DIP).tif
.....................................\fourier1.m
.....................................\gaussianhighpass.m
.....................................\gaussianlowpass.m
.....................................\gaussiannoise.m
.....................................\saltandpeppermedian.asv
.....................................\saltandpeppermedian.m
.....................................\wienerfilter.m