I have two images that consist of colored squares with different grid step (10x10 and 12x12).
What I want is to make the first image to be smoothly transformed into the second one.
When I use a plain image overlay with
Is there any algorithm to deal with this task?
Thanks.
CodePudding user response:
You can interpolate each pixel individually between different images.
import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
np.random.seed(200)
num_images = 2
images = np.random.rand(num_images, 8,8)
for index, im in enumerate(images):
print(f'Images {index}')
fig = plt.imshow(im)
plt.show()
Interpolating these images:
n_frames = 4
x_array = np.linspace(0, 1, int(n_frames))
def interpolate_images(frame):
intermediate_image = np.zeros((1, *images.shape[1:]))
for lay in range(images.shape[1]):
for lat in range(images.shape[2]):
tck = interpolate.splrep(np.linspace(0, 1, images.shape[0]), images[:, lay, lat], k = 1)
intermediate_image[:, lay, lat] = interpolate.splev(x_array[frame], tck)
return intermediate_image
for frame in range(n_frames):
im = interpolate_images(int(frame))
fig = plt.imshow(im[0])
plt.show()