Support input coefficients in Pyramid.recon_pyr #2

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1. pehf commented on Aug 6, 2020

   

   pehf

   on Aug 6, 2020

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   Thanks for opening this issue Berthy. I am very curious about phase-based motion magnification!
   You are right that currently recon_pyr does not take coefficients as argument. Instead, it uses the attribute pyr_coeffs of a previously initialized pyramid class. What modification did you use?

   Here is the way I would go about it (if I understand you correctly): to reconstruct from modified coefficients, overwrite the pyr_coeffs attribute of the pyramid. For example, adding some noise in one of the channels and computing the corresponding reconstruction (assuming we do not want to keep the original coefficients):

   oim = plt.imread('../DATA/Einstein.pgm') / 255.
   pyr = pt.pyramids.SteerablePyramidFreq(oim)
   pyr.pyr_coeffs[1,2] += np.std(pyr.pyr_coeffs[1,2]) * np.random.normal(size=pyr.pyr_coeffs[1,2].shape)
   recon = pyr.recon_pyr()
   pt.image_compare(oim, recon)
   

   What do you think?
2. pehf

   self-assigned this

   on Aug 6, 2020