I am able to run my code but for some reason it is not plotting. I am experiencing no errors.

import numpy as np import numpy.fft as fp import matplotlib.pyplot as plt import cv2 import warnings

warnings.simplefilter("ignore", np.ComplexWarning)

girl = cv2.imread('girl.tif')

im = np.mean(girl, axis=2) im1 = np.zeros((2*im.shape[0], 2*im.shape[1])) print(im.shape, im1.shape) for i in range(im.shape[0]): for j in range(im.shape[1]): im1[2*i,2*j] = im[i,j] def padwithzeros(vector, pad_width, iaxis, kwargs): vector[:pad_width[0]] = 0 vector[-pad_width[1]:] = 0 return vector # the LPF kernel kernel = [[0.25, 0.5, 0.25], [0.5, 1, 0.5], [0.25, 0.5, 0.25]] # enlarge the kernel to the shape of the image kernel = np.pad(kernel, (((im1.shape[0]-3)//2,(im1.shape[0]-3)//2+1), ((im1.shape[1]-3)//2,(im1.shape[1]-3)//2+1)), padwithzeros) plt.figure(figsize=(15,10)) plt.gray() # show the filtered result in grayscale freq = fp.fft2(im1) freq_kernel = fp.fft2(fp.ifftshift(kernel)) freq_LPF = freq*freq_kernel # by the Convolution theorem im2 = fp.ifft2(freq_LPF) freq_im2 = fp.fft2(im2)

plt.subplot(2,3,1), plt.imshow(im), plt.title('Original Image', size=20) plt.xticks([]), plt.yticks([]) plt.subplot(2,3,2), plt.imshow(im1) plt.title('Padded Image', size=20) plt.subplot(2,3,3) plt.imshow( (20*np.log10( 0.1 + fp.fftshift(freq))).astype(int), cmap='jet') plt.title('Original Image Spectrum', size=20) plt.subplot(2,3,4) plt.imshow( (20*np.log10( 0.1 + fp.fftshift(freq_kernel))).astype(int), cmap='jet') plt.title('Image Spectrum of the LPF', size=20) plt.subplot(2,3,5) plt.imshow( (20*np.log10( 0.1 + fp.fftshift(freq_im2))).astype(int), cmap='jet') plt.title('Image Spectrum after LPF', size=20) plt.subplot(2,3,6) plt.imshow(im2.astype(np.uint8)) # the imaginary part is an artifact plt.title('Output Image', size=20)