diff --git a/ctif.py b/ctif.py
index 7d1c755..6a663c2 100644
--- a/ctif.py
+++ b/ctif.py
@@ -16,8 +16,8 @@ FONT_PATH = 'fonts/scientifica.ttf'
 TEXT_WIDTH = 6 # on font size 12 monocraft medium
 TEXT_HEIGHT = 11
 
-SCALE_FACTOR = 2
-RESIZE_FACTOR = 2
+SCALE_FACTOR = 1
+RESIZE_FACTOR = 0.75
 
 SCALED_WIDTH = TEXT_WIDTH // SCALE_FACTOR
 SCALED_HEIGHT = TEXT_HEIGHT // SCALE_FACTOR
@@ -83,14 +83,14 @@ class CTIF:
         if image.mode != 'RGB':
             image = image.convert('RGB')
 
-        image = image.resize((image.width * RESIZE_FACTOR, image.height * RESIZE_FACTOR))
+        image = image.resize((int(image.width * RESIZE_FACTOR), int(image.height * RESIZE_FACTOR)))
         logging.debug(f'Image Size: {image.size}')
 
         L_image = image.convert('L')
-        logging.debug(f'L_image Size: {L_image.size}')
+        # logging.debug(f'L_image Size: {L_image.size}')
 
-        dog = filters.difference_of_gaussians(image)
-        logging.debug(f'Dog Size: {dog.size}')
+        dog = filters.difference_of_gaussians(image, blur_strength_2=1)
+        # logging.debug(f'Dog Size: {dog.size}')
 
         dog.save('debug/dog.png')
 
@@ -209,11 +209,18 @@ class CTIF:
             if char not in EDGE_CHARS:
                 v = (NEW_CHARS.find(char) + 1) * (255/len(NEW_CHARS))/255
 
-            logging.debug(f'HSV Color: {h, s, v}')
+            # logging.debug(f'HSV Color: {h, s, v}')
+
+            # Make the bright colors brighter and the darks darker
+            if v >= 0.5:
+                v *= 1.5
+            # else:
+            #     v *= 0.5
+
             r, g, b = colorsys.hsv_to_rgb(h, s, v)
 
 
-            logging.debug(f'RGB Color Before: {r, g, b}')
+            # logging.debug(f'RGB Color Before: {r, g, b}')
             r *= 255
             g *= 255
             b *= 255
@@ -221,7 +228,7 @@ class CTIF:
             r = min(r, 255)
             g = min(g, 255)
             b = min(b, 255)
-            logging.debug(f'RGB Color: {r, g, b}')
+            # logging.debug(f'RGB Color: {r, g, b}')
             rendered_char = font.render(char, ANTI_ALIASING, (int(r), int(g), int(b)))
             window.blit(rendered_char, (x * TEXT_WIDTH, y * TEXT_HEIGHT))
 
@@ -320,9 +327,9 @@ class CTIF:
 
             d = data[i:i + 3]
 
-            print(f'index: {i}')
-            print(f'index end: {i + 3}')
-            print(f'data: {d}')
+            # print(f'index: {i}')
+            # print(f'index end: {i + 3}')
+            # print(f'data: {d}')
 
             h = d[0:1]
             h = int.from_bytes(h, 'big')
@@ -333,7 +340,7 @@ class CTIF:
 
             char_n = d[2:3]
             char_n = int.from_bytes(char_n, 'big')
-            print(char_n)
+            # print(char_n)
             char = (NEW_CHARS + EDGE_CHARS)[char_n]
 
             logging.debug(f'H: {h}, S: {s}, Char: {char}')
diff --git a/engine.citf b/engine.citf
index 08161b7..3957b2f 100644
Binary files a/engine.citf and b/engine.citf differ
diff --git a/filters.py b/filters.py
index aa532cf..a706e45 100644
--- a/filters.py
+++ b/filters.py
@@ -14,7 +14,7 @@ sobel_x_kernel = np.array((
 
 sobel_y_kernel = np.transpose(sobel_x_kernel)
 
-def difference_of_gaussians(img: Image.Image, blur_strength_1: float | None = 1.0, blur_strength_2: float | None = 1.2) -> Image.Image:
+def difference_of_gaussians(img: Image.Image, blur_strength_1: float | None = 1.0, blur_strength_2: float | None = 1.2, threshold: int | None = 128*3) -> Image.Image:
     blur_1 = img.filter(ImageFilter.GaussianBlur(blur_strength_1))
     blur_2 = img.filter(ImageFilter.GaussianBlur(blur_strength_2))
 
@@ -34,6 +34,9 @@ def difference_of_gaussians(img: Image.Image, blur_strength_1: float | None = 1.
             p2 = np.array(p2)
             new_pixel = p2 - p1
 
+            # if new_pixel.sum() < threshold:
+            #      new_pixel = np.zeros(3).astype(np.uint8)
+
             dog.putpixel(coords, tuple(new_pixel.tolist()))
 
     return dog
diff --git a/main.py b/main.py
index 97963cb..8959ec6 100644
--- a/main.py
+++ b/main.py
@@ -13,10 +13,10 @@ def main():
 
     image = Image.open(IMAGE_PATH)
     i = ctif.CTIF(image)
-    i.save_citf('engine')
-    i.read_citf('engine.citf')
+    # i.save_citf('engine')
+    # i.read_citf('engine.citf')
     i.save_image('render.png')
-    # i.save_edges('debug/edges-render.png')
+    i.save_edges('debug/edges-render.png')
     # i.save_image('render.png')
     # i.save_citf('engine')