如何在Matlab中实现高通巴特沃斯滤波器？

Question

根据Page#14 of 此链接的说法，高通巴特沃斯滤波器的方程是：

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根据Page#17的说法，输出应该如下所示，

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现在，我已经看过这个回答如此，并使用链接的pdf文档中给出的公式编写了下面的Matlab代码。

输出看起来不同于上面给出的输出。

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我的源代码中有什么可能的问题？

源代码

main.m

clear_all();

I = gray_imread('cameraman.png');

n = 1;
Dh = 10;

[J, Kernel] = butterworth_hp(I, Dh, n);

imshowpair(I, J, 'montage');

butterworth_hp.m

function [out, kernel] = butterworth_hp(I, Dh, n)
height = size(I, 1);
width = size(I, 2);

I_fft_shifted = fftshift(fft2(double(I)));

[u, v] = meshgrid(-floor(width/2):floor(width/2)-1,-floor(height/2):floor(height/2)-1);
kernel = butter_hp_kernel(u, v, Dh, n);

I_fft_shift_filtered = I_fft_shifted .* kernel;

out = real(ifft2(ifftshift(I_fft_shift_filtered)));

out = (out - min(out(:))) / (max(out(:)) - min(out(:)));
out = uint8(255*out);


function k = butter_hp_kernel(u, v, D0, n)
uv =  u.^2+v.^2;
Duv = uv.^0.5;
frac = D0./Duv;
p = 2*n;
denom =  frac.^p;
A = 0.414;
k = 1./(1+A*denom);

Answer 1

我已经解决了这个问题。

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解决这个问题的关键是函数ifftshow()。

源代码

main.m

clear_all();
I = gray_imread('cameraman.png');
Dh = 10;
n = 1;
[J, K] = butterworth_hpf(I, Dh, n);

imshowpair(I, K, 'montage');
%draw_multiple_images({I, J, K});

ifftshow.m

function out = ifftshow(f)
    f1 = abs(f);
    fm = max(f1(:));
    out = f1/fm;
end

butter_hp_kernel.m

function k = butter_hp_kernel(I, Dh, n) 
    Height = size(I,1); 
    Width = size(I,2); 

    [u, v] = meshgrid( ...
                    -floor(Width/2) :floor(Width-1)/2, ...
                    -floor(Height/2): floor(Height-1)/2 ...
                 ); 

    k = butter_hp_f(u, v, Dh, n);

function f = butter_hp_f(u, v, Dh, n)
    uv = u.^2+v.^2;
    Duv = sqrt(uv);
    frac = Dh./Duv;
    %denom = frac.^(2*n);
    A=0.414; denom = A.*(frac.^(2*n));    
    f = 1./(1.+denom);

butterworth_hpf.m

function [out1, out2] = butterworth_hpf(I, Dh, n)

    Kernel = butter_hp_kernel(I, Dh, n);

    I_ffted_shifted = fftshift(fft2(I));

    I_ffted_shifted_filtered = I_ffted_shifted.*Kernel;

    out1 = ifftshow(ifft2(I_ffted_shifted_filtered));

    out2 = ifft2(ifftshift(I_ffted_shifted_filtered));
end