feat: sharpening (done in guess) lab4

labo4.py

@@ -93,7 +93,19 @@ def laplace(img: Img, isotropy: Isotropy) -> Img:
         case _:
             print("Invalid isotropy value")
 
-    return xcorr(img, kernel)
+    laplacian = xcorr(img, kernel)
+
+    # return thresholding(laplacian, 180)
+    return laplacian
+
+
+def sharpen(img: Img, isotropy: Isotropy) -> Img:
+    new_image = img.copy()
+    laplacian = laplace(img, isotropy)
+
+    new_image += laplacian
+
+    return new_image
 
 
 if __name__ == "__main__":
@@ -103,13 +115,19 @@ if __name__ == "__main__":
     laplacian = laplace(gray, Isotropy.ISO_45)
     thresholded = thresholding(laplacian, 50)
 
-    fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(10, 10))
+    sharp_iso_90 = sharpen(gray, Isotropy.ISO_90)
+    sharp_iso_45 = sharpen(gray, Isotropy.ISO_45)
+
+    fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(12, 6))
+
+    axs[0].imshow(gray, cmap="gray", vmin=0, vmax=255)
+    axs[0].set_title('Original image')
 
-    axs[0].imshow(laplacian, cmap="gray", vmin=0, vmax=255)
-    axs[0].set_title('Laplacian filter')
+    axs[1].imshow(sharp_iso_90, cmap="gray", vmin=0, vmax=255)
+    axs[1].set_title('Sharpened (Laplacian filter, isotropy 90)')
 
-    axs[1].imshow(thresholded, cmap="gray", vmin=0, vmax=255)
-    axs[1].set_title('Thresholded laplacian')
+    axs[2].imshow(sharp_iso_45, cmap="gray", vmin=0, vmax=255)
+    axs[2].set_title('Sharpened (Laplacian filter, isotropy 45)')
 
     plt.tight_layout()
     plt.show()