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import cv2
import numpy as np
def modulo(x, L):
positive = x > 0
x = x % L
x = np.where( ( x == 0) & positive, L, x)
return x
def apply_blur(image, kernel_size):
"""Aplica desenfoque gaussiano a la imagen."""
return cv2.GaussianBlur(image, (kernel_size, kernel_size), 0)
def clip_image(image, correction, sat_factor):
"""Clips image with saturation factor and correction."""
processed_image = np.power(image, correction) * sat_factor
clipped_image = np.clip(processed_image, 0, 1)
return clipped_image
def wrap_image(image, correction, sat_factor):
"""Wraps image with saturation factor and correction."""
processed_image = np.power(image, 1.0) * sat_factor
wrapped_image = modulo(processed_image, 1.0)
return wrapped_image
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