Producing equal images in Python and Matlab

I am working on a project that involves both Matlab and Python and I am producing some images. Altough the matrixes I want to transform into images are the same, the images I get are not the same. I assume this has something to do with the equivalence between Python and Matlab commands for displaying images and thus this is why I am here.

MATLAB CODE:

fmn0 = imread('cameraman.tif');
fmn=double(ifftshift(fmn0,2));
Fun=fftshift(fft(fmn,[],2),2); 

imshow(real(Fun))

MATLAB OUTPUT:

PYTHON CODE:

import numpy as np
import matplotlib.pyplot as plt
import cv2

def row_wise_fft(A):
    A = np.asarray(A)
    rowWiseFFT = np.zeros((A.shape[0], A.shape[1]), dtype='complex')
    for i in range(0, A.shape[0]):
        rowWiseFFT[i, :] = np.fft.fft(A[i,:])
    return rowWiseFFT

def row_wise_ifftshift(A):
    for i in range(0, len(A)):
        A[i] = np.fft.ifftshift(A[i])
    return A

def row_wise_fftshift(A):
    for i in range(0, len(A)):
        A[i] = np.fft.fftshift(A[i])
    return A

fmn = cv2.imread("cameraman.tif", cv2.IMREAD_GRAYSCALE)

fun = row_wise_fftshift(row_wise_fft(row_wise_ifftshift(fmn)))

plt.set_cmap("Greys_r")
plt.imshow(fun.real)

PYHTON OUTPUT:

I can see some similarities, but how would one leave the Python output as the exact same as the Matlab one? Note that the fun matrixes are the exact same.

CodePudding user response：

MATLAB autoscales the output to [0 1], so most of your data in the MATLAB plot is extremely saturated and not really visible.

do imshow(real(Fun),[]) to remove the saturation and actually see all your data (MATLAB).

do plt.clim([0,1]) to saturate the visualization of your data in python.

You can also just give either MATLAB or python a different range of values to visualize (e.g. [0, 15])