SF.net SVN: matplotlib: [4006] trunk/py4science/examples/skel/ fft_imdenoise_skel.py

[<jd...@us...>]

Revision: 4006
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4006&view=rev
Author:   jdh2358
Date:     2007-10-25 12:41:13 -0700 (Thu, 25 Oct 2007)

Log Message:
-----------
replaced image read w/ pylab for portability

Modified Paths:
--------------
    trunk/py4science/examples/skel/fft_imdenoise_skel.py

Modified: trunk/py4science/examples/skel/fft_imdenoise_skel.py
===================================================================
--- trunk/py4science/examples/skel/fft_imdenoise_skel.py	2007-10-25 19:39:31 UTC (rev 4005)
+++ trunk/py4science/examples/skel/fft_imdenoise_skel.py	2007-10-25 19:41:13 UTC (rev 4006)
@@ -31,8 +31,10 @@
 # 'main' script
 
 
-im = # XXX make an image array from the file 'moonlanding.jpg', using the
-     # imread() function from scipy.misc.pilutil.
+im = # XXX make an image array from the file 'moonlanding.png', using the
+     # pylab imread() function.  You will need to just extract the red
+     # channel from the MxNx4 RGBA matrix to represent the grayscale
+     # intensities
 
 F = # Compute the 2d FFT of the input image.  Look for a 2-d FFT in N.dft
 


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