diff --git a/basic/views.py b/basic/views.py
index 5f8793b..2316f3d 100644
--- a/basic/views.py
+++ b/basic/views.py
@@ -729,13 +729,52 @@ def smooth(request):
                 d0 = para.get('d0', 20)
                 img = filter_use_smooth(img, gauss_low_pass_filter(img, d0))
         else:
-            return 0
+            size = para['size']
+            if filter == 'average':
+                img = cv2.blur(img, (size, size))
+            elif filter == 'median':
+                img = cv2.medianBlur(img, size)
         filename = getImageName() + DEFAULT_FORMAT
         cv2.imwrite(PREFIX + filename, img)
         return HttpResponse(filename)
     return HttpResponse('请使用POST方法')
 
 
+def process_roberts(img):
+    kernelx = np.array([[-1, 0], [0, 1]], dtype=int)
+    kernely = np.array([[0, -1], [1, 0]], dtype=int)
+    x = cv2.filter2D(img, cv2.CV_16S, kernelx)
+    y = cv2.filter2D(img, cv2.CV_16S, kernely)
+    # 转uint8
+    absX = cv2.convertScaleAbs(x)
+    absY = cv2.convertScaleAbs(y)
+    return cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
+
+
+def process_sobel(img):
+    x = cv2.Sobel(img, cv2.CV_16S, 1, 0)  # 对x求一阶导
+    y = cv2.Sobel(img, cv2.CV_16S, 0, 1)  # 对y求一阶导
+    absX = cv2.convertScaleAbs(x)
+    absY = cv2.convertScaleAbs(y)
+    return cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
+
+
+def process_prewitt(img):
+    kernelx = np.array([[1, 1, 1], [0, 0, 0], [-1, -1, -1]], dtype=int)
+    kernely = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]], dtype=int)
+    x = cv2.filter2D(img, cv2.CV_16S, kernelx)
+    y = cv2.filter2D(img, cv2.CV_16S, kernely)
+    # 转uint8
+    absX = cv2.convertScaleAbs(x)
+    absY = cv2.convertScaleAbs(y)
+    return cv2.addWeighted(absX, 0.5, absY, 0.5, 0)
+
+
+def process_laplacian(img):
+    dst = cv2.Laplacian(img, cv2.CV_16S, ksize=3)
+    return cv2.convertScaleAbs(dst)
+
+
 @csrf_exempt
 def sharpen(request):
     if request.method == 'POST':
@@ -757,7 +796,14 @@ def sharpen(request):
                 d0 = para.get('d0', 20)
                 img = filter_use_sharpen(img, gauss_high_pass_filter(img, d0))
         else:
-            return 0
+            if filter == 'Roberts':
+                img = process_roberts(img)
+            elif filter == 'Sobel':
+                img = process_sobel(img)
+            elif filter == 'Prewitt':
+                img = process_prewitt(img)
+            elif filter == 'Laplacian':
+                img = process_laplacian(img)
         filename = getImageName() + DEFAULT_FORMAT
         cv2.imwrite(PREFIX + filename, img)
         return HttpResponse(filename)