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print("Image Properties")
print("- Number of Pixels: " + str(img.size))
print("- Shape/Dimensions: " + str(img.shape))

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Image Properties
- Number of Pixels: 2782440
- Shape/Dimensions: (1180, 786, 3)

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cv2_imshow(threshold)

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import numpy as np
cv2.imwrite('sp_05.jpg', sp_05)

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cv2_imshow(sharpened_img)

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print("\n\n---Effects on S&P Noise Image with Probability 0.5---\n\n")
midpoint(sp_05)

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\ print("\n\n--- Effects on S&P Noise Image with Probability 0.5 ---\n\n")
cv2_imshow(contraharmonic_mean(sp_05, (3,3), 0.5))

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import cv2
import numpy as np
from matplotlib import pyplot as plt
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plt.show()

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