title: apply gaussian blur to an image ussing python
body: <p>I am trying to replicate the following smoothing of an image using a Gaussian filter (images from a journal):
  <img src="https://i.stack.imgur.com/8ly7W.png" alt="enter image description here"></p>
  
  <p>In the paper says that in order to get from the left image to the right image I have to apply a gaussian fiter with values x,y = 1,...,100 and sigma = 14 to obtain the "best resuts"</p>
  
  <p>I have developed the following program in python to try to achieve this smoothing:</p>
  
  <pre><code>import scipy.ndimage as ndimage
  import matplotlib.pyplot as plt
  
  img = ndimage.imread('left2.png')
  img = ndimage.gaussian_filter(img, sigma=(14), order=0)
  plt.imshow(img)
  plt.show()
  </code></pre>
  
  <p>for some reason the result obtained is not similar to the picture in the right. 
  Can someone please point out what do I have to modify in the program to get from the left image to the right image?</p>
  
  <p>Thank you.</p>