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- # bicubic.py
- def bicubic_interpolation_rgb(c0, c1, c2, c3):
- # Initialize the result as a 5x5 gradient of RGB colors
- result = [[(0, 0, 0)] * 5 for _ in range(5)]
- for j in range(5):
- for i in range(5):
- rgb = []
- for channel in range(3): # Loop through the RGB channels (0: Red, 1: Green, 2: Blue)
- # Calculate the bicubic interpolation for each channel
- pixel_value = bicubic(
- c0[channel],
- c1[channel],
- c2[channel],
- c3[channel],
- i, j
- )
- rgb.append(pixel_value)
- # Store the interpolated value as an RGB tuple in the result
- result[j][i] = tuple(rgb)
- return result # Return the 5x5 gradient of RGB colors
- # Bicubic interpolation function
- def bicubic(c0, c1, c2, c3, x, y):
- # Implement bicubic interpolation here
- a = c0 + (c1 - c0) * (0.5 * x)
- b = c0 + (c2 - c0) * (0.5 * y)
- c = (a + b) / 2
- d = (c + (c3 - c) * (0.5 * ((x + y) / 4)))
- z = (max(4, x + y) - 4)
- pixel_value = int(d * 2 if z else c)
- return pixel_value
- # Example usage:
- c0 = (0, 255, 255)
- c1 = (0, 0, 255)
- c2 = (255, 255, 0)
- c3 = (0, 0, 0)
- # Perform bicubic interpolation for the 5x5 gradient of RGB colors
- interpolated_gradient = bicubic_interpolation_rgb(c0, c1, c2, c3)
- # Print the interpolated gradient
- for row in interpolated_gradient:
- print(row)
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