Use a mix of laplacian and fdibm to calculate quality measurement

imgrate.py

@@ -26,6 +26,11 @@ class imgrate:
         image = cv2.imread(imgfile)
         self.image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 
+    @property
+    @image_required
+    def quality(self):
+        return self.laplacian * self.fdibm
+
     @property
     @image_required
     def laplacian(self):
@@ -48,7 +53,7 @@ if __name__ == '__main__':
     ap.add_argument('images', type=str, nargs='+', help='')
     args = ap.parse_args()
 
-    ratings = {image: imgrate(image).laplacian for image in args.images}
+    ratings = {image: imgrate(image).quality for image in args.images}
     maximum = max(ratings, key=ratings.get)
 
     for rating in ratings.keys():