Smoothing a numpy matrix

I am doing data processing on images. Each pixel is considered a data point. The image reads like this:

im=Image.open('lena.bmp')
im=numpy.array(im)
print im.shape

      

        
        
        
      

    

Depending on whether the image is in color or grayscale, im.shape is either (10,10,3) or (10,10,1)

After that, the image is smoothed into a feature matrix as follows:

if (10,10,3), then ---> (100,3)

if (10,10,1) then ---> (100,1)

How do I write a polymorphic function for this? My current approach:

obs=reshape(im,(im.shape[0]*im.shape[1],1, im.size/(im.shape[0]*im.shape[1])))