My code
from PIL import Image, ImageEnhance
import matplotlib.pyplot as plt
import numpy as np
import cv2
# Original image path
image_path = "D:\temp\STC.jpg" # Altere se estiver em outro local
original_image = Image.open(image_path)
# Convert to OpenCV to apply enhancements
cv_image = cv2.cvtColor(np.array(original_image), cv2.COLOR_RGB2BGR)
# Sharpen and reduce noise
denoised = cv2.fastNlMeansDenoisingColored(cv_image, None, 10, 10, 7, 21)
# Convert back to PIL
enhanced_image = Image.fromarray(cv2.cvtColor(denoised, cv2.COLOR_BGR2RGB))
# Improving contrast and sharpness with PIL
contrast = ImageEnhance.Contrast(enhanced_image).enhance(1.4)
sharp = ImageEnhance.Sharpness(contrast).enhance(2.5)
# Display enhanced image
plt.figure(figsize=(10, 10))
plt.imshow(sharp)
plt.axis("off")
plt.title("Imagem Restaurada (Pre-colorizacao)")
plt.show()
# Save restored image
sharp.save("STC_restaurada.jpg")
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