AHE和CLAHE matlab代码实现

以下是AHE和CLAHE的Matlab代码实现。

AHE：

function J = AHE(I,ws)
% Adaptive Histogram Equalization
% I: input image
% ws: window size
I = im2double(I);
[m,n] = size(I);
J = zeros(m,n);
for i = 1:m
    for j = 1:n
        i1 = max(i-ws,1);
        i2 = min(i+ws,m);
        j1 = max(j-ws,1);
        j2 = min(j+ws,n);
        J(i,j) = histeq(I(i1:i2,j1:j2),256);
    end
end
end

CLAHE：

function J = CLAHE(I,ws,K)
% Contrast-Limited Adaptive Histogram Equalization
% I: input image
% ws: window size
% K: contrast enhancement factor
I = im2double(I);
[m,n] = size(I);
J = zeros(m,n);
for i = 1:m
    for j = 1:n
        i1 = max(i-ws,1);
        i2 = min(i+ws,m);
        j1 = max(j-ws,1);
        j2 = min(j+ws,n);
        J(i,j) = adapthisteq(I(i1:i2,j1:j2),'NumTiles',[8,8],'ClipLimit',K);
    end
end
end

其中，AHE函数实现了自适应直方图均衡化，ws表示窗口大小；CLAHE函数实现了对比度受限的自适应直方图均衡化，ws表示窗口大小，K表示对比度增强因子。