def elliptical():
"""Generate a test image with random ellipses and background noise."""
im = TestImage(shift=True, nx=1000, ny=1000)
im.addEllipseRandom(nEllipse=100, value=5)
im.addNoise(sigma=1)
im.hanningFilter()
#im.zeroPad()
im.calcAll(min_npix=2, min_dr=1)
im.plotMore()
pylab.savefig('elliptical.%s' %(figformat), format='%s' %(figformat))
# Invert from ACovF 1d without phases
im.invertAcovf1d()
im.invertAcovf2d(useI=True)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageAndImageI()
pylab.savefig('elliptical_invert.%s' %(figformat), format='%s' %(figformat))
pylab.close()
return
# Start here to invert from 2d ACovF (useI=False (default) # if uses phase info - get perfect reconstruction ... if use random phase (usePhasespec=False) then lose some # image intensity information (and certainly lose zeropoint) #im.invertAcovf2d(usePhasespec=False) #im.invertAcovf2d(useI=True) # Start here to invert from 1d PSD (and use phase info or not) #im.invertPsd1d(phasespec=im.phasespec) # Start here to invert from 2d PSD (useI = False then, and uses phase info - get perfect reconstruction) im.invertPsd2d(usePhasespec=False) #im.invertPsd2d(useI=True) # Start here to invert from FFT (useI = False, and will get perfect reconstruction). im.invertFft(useI=True) # Use im2 to recalculate 1d PSD/ACovF starting from the reconstructed image, without altering the original. im2 = PImagePlots() im2.setImage(im.imageI.real, copy=True) im2.calcAll(min_dr=1.0, min_npix=2) im2.plotMore() # Now start plotting things, in comparison. clims = im.showImage() #print clims im2.showImage(clims=clims) im2.showImage() im.showFft(clims=clims) im2.showFft(clims=clims) im.showPsd2d()
def inversion():
"""Generate some example images & invert them to reconstruct the original image."""
im = TestImage(shift=True, nx=1000, ny=1000)
#im.addEllipseGrid(gridX=200, gridY=100, semiX=50, semiY=25, value=1)
im.addLines(width=20, spacing=200, value=1, angle=45)
im.addSin(scale=300)
im.hanningFilter()
im.zeroPad()
#cmap = pylab.cm.gray_r
cmap = None
clims = im.showImage(cmap=cmap)
pylab.savefig('invert_image.%s' %(figformat), format='%s' %(figformat))
im.calcAll(min_npix=1, min_dr=1)
# Invert from ACovF and show perfect reconstruction.
im.invertAcovf2d()
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_acovf2d_good.%s' %(figformat), format='%s' %(figformat))
# Invert from ACovF 2d without phases
im.invertAcovf2d(usePhasespec=False, seed=42)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_acovf2d_nophases.%s' %(figformat), format='%s' %(figformat))
# Invert from ACovF 1d with phases
im.invertAcovf1d(phasespec=im.phasespec)
im.invertAcovf2d(useI=True)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_acovf1d_phases.%s' %(figformat), format='%s' %(figformat))
# Invert from ACovF 1d without phases
im.invertAcovf1d(seed=42)
im.invertAcovf2d(useI=True)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_acovf1d_nophases.%s' %(figformat), format='%s' %(figformat))
# Recalculate 1-d PSD and ACovF from this last reconstructed image (ACovF1d no phases)
im2 = PImagePlots()
im2.setImage(im.imageI)
im2.calcAll(min_npix=1, min_dr=1)
legendlabels=['Reconstructed', 'Original']
im2.showPsd1d(comparison=im, legendlabels=legendlabels)
pylab.savefig('invert_recalc_ACovF_Psd1d.%s' %(figformat), format='%s' %(figformat))
im2.showAcovf1d(comparison=im, legendlabels=legendlabels)
pylab.savefig('invert_recalc_ACovF_Acovf1d.%s' %(figformat), format='%s' %(figformat))
# Invert from PSD and show perfect reconstruction.
im.invertPsd2d()
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_psd2d_good.%s' %(figformat), format='%s' %(figformat))
# Invert from PSD 2d without phases
im.invertPsd2d(usePhasespec=False, seed=42)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_psd2d_nophases.%s' %(figformat), format='%s' %(figformat))
# Invert from PSD 1d with phases
im.invertPsd1d(phasespec=im.phasespec)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_psd1d_phases.%s' %(figformat), format='%s' %(figformat))
# Invert from PSD 1d without phases
im.invertPsd1d(seed=42)
im.invertPsd2d(useI=True)
im.invertFft(useI=True)
im.showImageI(clims=clims, cmap=cmap)
pylab.savefig('invert_psd1d_nophases.%s' %(figformat), format='%s' %(figformat))
# Recalculate 1-d PSD and ACovF from this last reconstructed image (PSD1d no phases)
im2 = PImagePlots()
im2.setImage(im.imageI)
im2.calcAll(min_npix=1, min_dr=1)
im2.showPsd1d(comparison=im, legendlabels=legendlabels)
pylab.savefig('invert_recalc_PSD_Psd1d.%s' %(figformat), format='%s' %(figformat))
im2.showAcovf1d(comparison=im, legendlabels=legendlabels)
pylab.savefig('invert_recalc_PSD_Acovf1d.%s' %(figformat), format='%s' %(figformat))
pylab.close()
return
