Create image_processor.py

image_processor.py

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+import cv2
+import numpy as np
+from PIL import Image, ImageEnhance
+from typing import Optional, Dict, Any
+import logging
+
+class ImageProcessor:
+    def __init__(self):
+        self.cache = {}
+        logging.info("Image processor initialized")
+
+    def enhance_image(self, image: Image.Image, params: Dict[str, Any]) -> Image.Image:
+        """Amélioration optimisée de la qualité d'image"""
+        try:
+            # Paramètres de base
+            sharpness = params.get('detail_level', 7) / 5
+            contrast = params.get('contrast', 5) / 5
+            saturation = params.get('saturation', 5) / 5
+
+            # Application des améliorations
+            # 1. Netteté
+            if sharpness != 1:
+                enhancer = ImageEnhance.Sharpness(image)
+                image = enhancer.enhance(sharpness)
+
+            # 2. Contraste
+            if contrast != 1:
+                enhancer = ImageEnhance.Contrast(image)
+                image = enhancer.enhance(contrast)
+
+            # 3. Saturation
+            if saturation != 1:
+                enhancer = ImageEnhance.Color(image)
+                image = enhancer.enhance(saturation)
+
+            return image
+
+        except Exception as e:
+            logging.error(f"Erreur lors de l'amélioration de l'image: {str(e)}")
+            return image