Enhance image before ai processing

cloud/image_enhancer.py

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+import cv2
+
+def enhance_image_for_ai(input_path: str) -> str:
+    """Enhances dark areas and contrast using CLAHE without blowing out bright areas."""
+    img = cv2.imread(input_path)
+    if img is None:
+        return input_path
+
+    # Convert to LAB color space to modify luminance channel only
+    lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
+    l, a, b = cv2.split(lab)
+
+    # Apply CLAHE to Lightness channel
+    clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8, 8))
+    cl = clahe.apply(l)
+
+    # Merge channels and convert back to BGR
+    limg = cv2.merge((cl, a, b))
+    enhanced = cv2.cvtColor(limg, cv2.COLOR_LAB2BGR)
+
+    enhanced_path = input_path.replace(".jpg", "_enhanced.jpg")
+    cv2.imwrite(enhanced_path, enhanced)
+    return enhanced_path