%%%?MSR
clc;
clear;
close;
I?=?imread（‘C:\Users\shou\Desktop\010.jpg‘）;
R?=?I（:?:?1）;
G?=?I（:?:?2）;
B?=?I（:?:?3）;
R0?=?double（R）;
G0?=?double（G）;
B0?=?double（B）;



[N1?M1]?=?size（R0）;

Rlog?=?log（R0+1）;%增強(qiáng)原理第一步取對(duì)數(shù)
Rfft2?=?fft2（R0）;%進(jìn)行二維傅里葉變換，將R通道分量由空間域變?yōu)轭l率域


sigma1?=?1800;
F1?=?fspecial（‘gaussian‘?[N1M1]?sigma1）;%高斯低通濾波，有兩個(gè)參數(shù)，hsize表示模板尺寸，默認(rèn)值為【3?3】，sigma為濾波器的標(biāo)準(zhǔn)值，單位為像素，默認(rèn)值為0.5.
%F1?=?fspecial（‘unsharp‘?0.2）;????????????????????????????F1為一個(gè)二維濾波器?
Efft1?=?fft2（double（F1））;%進(jìn)行傅里葉變換，將濾波器F1由空間域變?yōu)轭l率域

%第二步高斯模板對(duì)原圖像作卷積，即相當(dāng)于對(duì)原圖像作低通濾波，得到低通濾波后的圖像D（xy）
DR0?=?Rfft2.*?Efft1;?%R分量和濾波器進(jìn)行點(diǎn)乘
DR?=?ifft2（DR0）;%進(jìn)行傅里葉反變換，將頻率域變?yōu)榭臻g域

%第三步在對(duì)數(shù)域中，用原圖像減去低通濾波后的圖像，得到高頻增強(qiáng)的圖像G（xy）=S’（xy）-log（D（xy））
DRlog?=?log（DR?+1）;
Rr1?=?Rlog?-?DRlog;

sigma2?=?2500;
%sigma2?=?2500;
F

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2020-04-23?00:18??增強(qiáng)\
?????目錄???????????0??2020-04-23?00:10??增強(qiáng)\Retinex\
?????文件????????2702??2020-04-23?00:10??增強(qiáng)\Retinex\MSR.m
?????文件????????3132??2020-02-10?20:06??增強(qiáng)\Retinex\MSRCR.m
?????文件????????1146??2020-02-05?16:57??增強(qiáng)\Retinex\SSR.m
?????目錄???????????0??2020-04-23?00:18??增強(qiáng)\灰度變換\
?????文件?????????754??2020-04-23?00:17??增強(qiáng)\灰度變換\huidubianhuan.m
?????目錄???????????0??2020-04-23?00:18??增強(qiáng)\直方圖均衡化\
?????文件?????????258??2020-04-23?00:17??增強(qiáng)\直方圖均衡化\zhifangtujunhenghua.m
?????目錄???????????0??2020-04-23?00:13??增強(qiáng)\自適應(yīng)直方圖均衡化\
?????文件?????????260??2020-01-05?15:42??增強(qiáng)\自適應(yīng)直方圖均衡化\CLAHE.m