diff --git a/get_ee_from_region.py b/get_ee_from_region.py
index d3eff0c..0e285bd 100755
--- a/get_ee_from_region.py
+++ b/get_ee_from_region.py
@@ -234,7 +234,16 @@ import cairocffi as cairo
 # 1. Load Image and get Max Values in a 5x7 Grid
 def get_image_grid_max(image_path, grid_size=(15,15)):
     # Open image and convert to grayscale for pixel intensity
-    img = ImageOps.expand(Image.open(image_path).convert('L'), border=200,fill=0)
+    #img = ImageOps.expand(Image.open(image_path).convert('L'), border=200,fill=0)
+    orig=Image.open(image_path).convert('L')
+    logging.debug('orig image size is [{}]'.format(orig.size))
+    img= Image.new(mode='L', size=(1224,1224), color=0)
+    logging.debug('background image size is [{}]'.format(img.size))
+    img.paste(orig,
+              ( (1224-orig.size[0])//2,
+                    (1224-orig.size[1])//2)  )
+
+    img.save("frame.png")
     width, height = img.size
     grid_w, grid_h = grid_size
 
@@ -249,13 +258,13 @@ def get_image_grid_max(image_path, grid_size=(15,15)):
             # Define box (left, upper, right, lower)
             box = (c * cell_w, r * cell_h, (c + 1) * cell_w, (r + 1) * cell_h)
             cell = img.crop(box)
-            max_values[r, c] = np.median(np.array(cell))
+            max_values[r, c] = np.mean(np.array(cell))
 
     return max_values
 
 
 # 2. Create 3D Line Chart using Cairo (No Matplotlib)
-def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
+def create_3d_line_chart_svg(data, output_path, svg_size=(1200, 1200)):
     surface = cairo.SVGSurface(output_path, svg_size[0], svg_size[1])
     cr = cairo.Context(surface)
 
@@ -265,8 +274,10 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
 
     # Simple Orthographic Projection Matrix (pseudo-3D)
     # Projects (x,y,z) -> (x+z/2, y+z/2)
-    def project(x, y, z, scale=20, offset=(0, 0)):
-        return (offset[0] + x * scale, offset[1] + y * scale + z * 1)
+    def project(x, y, z, xscale=20, yscale=10, offset=(0, 0)):
+        shelf = 0 if z == 0 else z+2
+        #shelf = z
+        return (offset[0] + x * xscale, offset[1] + y * yscale + shelf/2)
         #return (offset[0] + x * scale + z * 2, offset[1] + y * scale + z * 2)
 
     rows, cols = data.shape
@@ -278,16 +289,23 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
     # Draw Lines along rows
     cr.set_source_rgb(0, 0, 0)  # Black lines
     cr.set_line_width(1.0)
-
+    lastz = 0
+    lasty = 0
     for r in range(rows):
         for c in range(cols):
             z = norm_data[r, c]
-            x, y = project(c, r, -z, scale=800/cols)  # -z to make higher values go "up" in 2D
+            x, y = project(c, r, -z, xscale=800/cols, yscale=800/rows)  # -z to make higher values go "up" in 2D
             if c == 0:
                 cr.move_to(x, y+50)
                 cr.line_to(x, y)
             else:
+                if lastz == 0:
+                    cr.line_to(x, lasty)
+                if z == 0 and lastz != 0:
+                    cr.line_to(x, lasty)
                 cr.line_to(x, y)
+            lastz=z
+            lasty=y
         cr.move_to(x, y + 50)
         cr.close_path()
         cr.set_source_rgb(1,1,1)
@@ -313,9 +331,14 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
 
 
 # Process
-grid_max = get_image_grid_max(target_filename, grid_size=(50,30))
+t = Timerlog("Gridify png file").start()
+grid_max = get_image_grid_max(target_filename, grid_size=(80,80))
 print("Grid Max Values:\n", grid_max)
+logging.debug(t.end().report())
+
 
 # Plot
-create_3d_line_chart_svg(grid_max, target_region_name+".svg", svg_size=Image.open(target_filename).size)
+t = Timerlog("Convert to SVG").start()
+create_3d_line_chart_svg(grid_max, target_region_name+".svg", svg_size=(1200,1200))
 print("SVG file created: "+ target_region_name+".svg")
+logging.debug(t.end().report())