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- from PIL import Image
- import numpy as np
- image_path_noisy = 'cuisine01_00400.png'
- image_path_ref = 'cuisine01_01200.png'
- image_noisy = np.asarray(Image.open(image_path_noisy))
- image_ref = np.asarray(Image.open(image_path_ref))
- first_part = image_noisy[:, 0:400]
- second_part = image_ref[:, 400:800]
- final_image = Image.fromarray(np.concatenate((first_part, second_part), axis=1))
- final_image.show()
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