11

所以我有这个形象'我'。我取 F = fft2(I) 来获得二维傅里叶变换。要重建它,我可以去 ifft2(F)。

问题是,我只需要从 F 的 a) 幅度和 b) 相位分量重建该图像。如何分离傅立叶变换的这两个分量,然后从每个分量重建图像?

我尝试了 abs() 和 angle() 函数来获取幅度和相位,但相位无法正确重建。

帮助?

4

2 回答 2

11

您需要一个具有相同幅度F和 0 相位的矩阵,以及另一个具有相同相位F和统一幅度的矩阵。正如您所指出abs的,您给出了幅度。要获得统一幅度相同的相位矩阵,您需要使用angle来获得相位,然后将相位分离回实部和虚部。

> F_Mag = abs(F); %# has same magnitude as F, 0 phase
> F_Phase = cos(angle(F)) + j*(sin(angle(F)); %# has magnitude 1, same phase as F
> I_Mag = ifft2(F_Mag);
> I_Phase = ifft2(F_Phase);
于 2011-10-14T05:32:38.917 回答
2

现在对这篇文章提出另一个答案为时已晚,但是......无论如何

@zhilevan,您可以使用我使用 mtrw 的答案编写的代码:

image = rgb2gray(imread('pillsetc.png')); 
subplot(131),imshow(image),title('original image');
set(gcf, 'Position', get(0, 'ScreenSize')); % maximize the figure window
%:::::::::::::::::::::
F = fft2(double(image));
F_Mag = abs(F); % has the same magnitude as image, 0 phase 
F_Phase = exp(1i*angle(F)); % has magnitude 1, same phase as image
% OR: F_Phase = cos(angle(F)) + 1i*(sin(angle(F)));
%:::::::::::::::::::::
% reconstruction
I_Mag = log(abs(ifft2(F_Mag*exp(i*0)))+1);
I_Phase = ifft2(F_Phase);
%:::::::::::::::::::::
% Calculate limits for plotting
% To display the images properly using imshow, the color range
% of the plot must the minimum and maximum values in the data.
I_Mag_min = min(min(abs(I_Mag)));
I_Mag_max = max(max(abs(I_Mag)));

I_Phase_min = min(min(abs(I_Phase)));
I_Phase_max = max(max(abs(I_Phase)));
%:::::::::::::::::::::
% Display reconstructed images
% because the magnitude and phase were switched, the image will be complex.
% This means that the magnitude of the image must be taken in order to
% produce a viewable 2-D image.
subplot(132),imshow(abs(I_Mag),[I_Mag_min I_Mag_max]), colormap gray 
title('reconstructed image only by Magnitude');
subplot(133),imshow(abs(I_Phase),[I_Phase_min I_Phase_max]), colormap gray 
title('reconstructed image only by Phase');
于 2013-11-09T08:16:50.063 回答