```

✨ feat(images): add column allocation on post processed images
- introduces the Granularity by breaking images into 4 columns on display

refactor(preprocess): update default values for channel and radius
- solves obscure errors

-runs performance impact tests

-directory dirs[]= dicts();
```

app.py

@@ -269,7 +269,7 @@ with gr.Blocks() as iface:
             with gr.Column(scale=2):
                 # Custom HTML component to display results in 5 columns
                 results_html = gr.HTML(label="Model Predictions")
-                forensics_gallery = gr.Gallery(label="Post Processed Images", visible=True)
+                forensics_gallery = gr.Gallery(label="Post Processed Images", visible=True, columns=[4])
 
                 outputs = [image_output, forensics_gallery, results_html]
         

utils/minmax.py

@@ -27,7 +27,7 @@ def blk_filter(img, radius):
             )
     return cv.normalize(result, None, 0, 127, cv.NORM_MINMAX, cv.CV_8UC1)
 
-def preprocess(image, channel=0, radius=0):
+def preprocess(image, channel=4, radius=1):
     if not isinstance(image, np.ndarray):
         image = np.array(image)  # Ensure image is a NumPy array
     if channel == 0: