def task1a(img):
img_gauss = us.fftConvoluteKernel(img, us.Gaussian)
img_lapl = us.fftConvoluteKernel(img, us.Laplacian)
plt.subplot(131), plt.imshow(img, cmap='gray')
plt.title('Input Image'), plt.xticks([]), plt.yticks([])
plt.subplot(132), plt.imshow(img_gauss, cmap='gray')
plt.title('Gaussian LPF'), plt.xticks([]), plt.yticks([])
plt.subplot(133), plt.imshow(img_lapl, cmap='gray')
plt.title('Laplacian HPF'), plt.xticks([]), plt.yticks([])
mng = plt.get_current_fig_manager()
mng.window.showMaximized()
print('Task 1A Done')
plt.show()
def task2b(img):
img_gauss = us.fftConvoluteKernel(img, us.Gaussian)
img_alias = us.downSample(img)
img_galias = us.downSample(img_gauss)
img_aliasN = img
img_galiasN = img_gauss
for _ in range(4):
img_aliasN = us.downSample(img_alias)
img_galiasN = us.downSample(img_galiasN)
plt.subplot(131), plt.imshow(img, cmap='gray')
plt.title('Input Image'), plt.xticks([]), plt.yticks([])
plt.subplot(132), plt.imshow(img_alias, cmap='gray')
plt.title('Downsample'), plt.xticks([]), plt.yticks([])
plt.subplot(133), plt.imshow(img_galias, cmap='gray')
plt.title('Gauss + Downsample'), plt.xticks([]), plt.yticks([])
mng = plt.get_current_fig_manager()
mng.window.showMaximized()
plt.show()
plt.subplot(131), plt.imshow(img, cmap='gray')
plt.title('Input Image'), plt.xticks([]), plt.yticks([])
plt.subplot(132), plt.imshow(img_aliasN, cmap='gray')
plt.title('Downsample N times'), plt.xticks([]), plt.yticks([])
plt.subplot(133), plt.imshow(img_galiasN, cmap='gray')
plt.title('Gauss + Downsample N times'), plt.xticks([]), plt.yticks([])
mng = plt.get_current_fig_manager()
mng.window.showMaximized()
plt.show()
print('Task 2B Done')
