In [1]:

    

%run ../common.ipynb


    

    




Populating the interactive namespace from numpy and matplotlib

In [2]:

    

import pywt
from __future__ import division


    

In [15]:

    

image = imread('../MP.tiff')
wimage = pywt.dwt2(image, 'haar')


    

In [16]:

    

type(wimage)


    

    
Out[16]:





tuple

In [17]:

    

for w in wimage:
    print type(w)


    

    




<type 'numpy.ndarray'>
<type 'tuple'>

In [18]:

    

size(wimage)


    

    
Out[18]:





2

In [19]:

    

size(wimage[1])


    

    
Out[19]:





3481632

In [20]:

    

size(wimage[0])


    

    
Out[20]:





1160544

In [14]:

    

imshow(wimage[0], cmap='gray')


    

    
Out[14]:





(<matplotlib.figure.Figure at 0x106740110>,
 <matplotlib.axes._subplots.AxesSubplot at 0x1067cd050>,
 <matplotlib.image.AxesImage at 0x114b099d0>)






    

In [22]:

    

cA, (cH, cV, cD) = wimage
print type(cH), type(cV), type(cD)


    

    




<type 'numpy.ndarray'> <type 'numpy.ndarray'> <type 'numpy.ndarray'>

In [23]:

    

print cH.shape, cV.shape, cD.shape


    

    




(1056, 1099) (1056, 1099) (1056, 1099)

In [24]:

    

image.shape


    

    
Out[24]:





(2111, 2198)

In [28]:

    

imshow(cA, cmap='gray')


    

    
Out[28]:





(<matplotlib.figure.Figure at 0x114b4dcd0>,
 <matplotlib.axes._subplots.AxesSubplot at 0x1068e98d0>,
 <matplotlib.image.AxesImage at 0x106023610>)






    

In [30]:

    

for i in wimage[1]:
    imshow(i, cmap='gray')


    

In [31]:

    

imshow(image, cmap='gray')


    

    
Out[31]:





(<matplotlib.figure.Figure at 0x106900690>,
 <matplotlib.axes._subplots.AxesSubplot at 0x106bcb5d0>,
 <matplotlib.image.AxesImage at 0x10c424890>)






    

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