Update app.py

app.py

@@ -13,17 +13,19 @@ def apply_filter(image, filter_type, intensity):
         soft_glow = cv2.addWeighted(image, 1 - normalized_intensity, gaussian, normalized_intensity, 0)
         return soft_glow
     elif filter_type == "Portrait Enhancer":
-        # 부드러운 피부 표현을 위한 필터 조합
-        # Step 1: Detail Enhance 사용 최소화
-        enhanced = cv2.detailEnhance(image, sigma_s=5, sigma_r=0.05 + 0.05 * normalized_intensity)
+        # Step 1: Detail Enhance 적용 (다소 강하게)
+        enhanced = cv2.detailEnhance(image, sigma_s=10, sigma_r=0.1 + 0.1 * normalized_intensity)
         
-        # Step 2: Gaussian Blur 적용 (적당한 강도로)
-        blurred = cv2.GaussianBlur(enhanced, (15, 15), 0)
+        # Step 2: Gaussian Blur 적용 (강도 조정)
+        blurred = cv2.GaussianBlur(enhanced, (5, 5), 0)
         
-        # Step 3: Bilateral Filter 적용 (경계 보존하면서 부드럽게)
-        smoothed = cv2.bilateralFilter(blurred, d=9, sigmaColor=75, sigmaSpace=75)
+        # Step 3: Bilateral Filter 적용 (약하게, 경계 보존)
+        smoothed = cv2.bilateralFilter(blurred, d=5, sigmaColor=50, sigmaSpace=50)
         
-        return smoothed
+        # Step 4: 원본 이미지와 혼합하여 선명함 유지
+        final_image = cv2.addWeighted(enhanced, 0.7, smoothed, 0.3, 0)
+        
+        return final_image
     elif filter_type == "Warm Tone":
         increase_red = np.array([[1.0 + 0.2 * normalized_intensity, 0.0, 0.0],
                                  [0.0, 1.0, 0.0],