In [15]:

    

%pylab inline
import matplotlib.image as mpimg
import matplotlib.cm as cm
import cfa
import hqli
img = mpimg.imread('data/lena.jpg')
cfa_img = cfa.make_cfa(img)


    

    




Populating the interactive namespace from numpy and matplotlib

In [16]:

    

img2 = hqli.hqli(cfa_img)


    

In [17]:

    

imshow(img, origin='upper')
figure()
imshow(img2, origin='upper')


    

    
Out[17]:





<matplotlib.image.AxesImage at 0x10ccf4210>






    













    

In [23]:

    

clf()
imshow(hstack([(np.array(img[2:-2,2:-2,:], dtype=np.float)
                -np.array(img2[2:-2,2:-2,:], dtype=np.float))[:,:,0], 
               (np.array(img[2:-2,2:-2,:], dtype=np.float)
                -np.array(img2[2:-2,2:-2,:], dtype=np.float))[:,:,1], 
               (np.array(img[2:-2,2:-2,:], dtype=np.float)
                -np.array(img2[2:-2,2:-2,:], dtype=np.float))[:,:,2]]), 
       origin='upper')
colorbar()


    

    
Out[23]:





<matplotlib.colorbar.Colorbar instance at 0x11013a9e0>






    

In [ ]: