"""
Simple moire with a single color image
"""
import moirelib as m
T = 1./40 # grating period
print 'pre-processing images...'
img = m.prepImage('audrey', mag=2, sigma=(0,T/4., 0))
fig = m.figure(figsize=(8,10))
m.show(img, 311, 'original')
print 'generating gratings...'
carrier = m.makeCarrier(img.shape, T)
g1 = carrier-(1-img)/4
g2 = carrier+(1-img)/4
print 'smoothing phase...'
g1 = m.smoothenPhase(g1, 1e-3/T, 50)
g2 = m.smoothenPhase(g2, 1e-3/T, 50)
print 'saving images...'
g1 = m.makeGrating(g1)
g2 = m.makeGrating(g2)
m.show(g1,323, 'grating 1')
m.show(g2,324, 'grating 2')
m.show(g1*g2, 313, 'superposition')
fig.savefig('./results/moire1.png', dpi=300)
"""
Simple moire with a single color image
"""
import moirelib as m
T = 1. / 40 # grating period
print 'pre-processing images...'
img = m.prepImage('audrey', mag=2, sigma=(0, T / 4., 0))
fig = m.figure(figsize=(8, 10))
m.show(img, 311, 'original')
print 'generating gratings...'
carrier = m.makeCarrier(img.shape, T)
g1 = carrier - (1 - img) / 4
g2 = carrier + (1 - img) / 4
print 'smoothing phase...'
g1 = m.smoothenPhase(g1, 1e-3 / T, 50)
g2 = m.smoothenPhase(g2, 1e-3 / T, 50)
print 'saving images...'
g1 = m.makeGrating(g1)
g2 = m.makeGrating(g2)
m.show(g1, 323, 'grating 1')
m.show(g2, 324, 'grating 2')
m.show(g1 * g2, 313, 'superposition')
fig.savefig('./results/moire1.png', dpi=300)
import moirelib as m
T = 1.0 / 40 # grating period as fraction of image width
offset = 1.0 / 8 # offset as a fraction of the image height
print "Loading images..."
img = (m.prepImage("audrey", mag=4, sigma=(0, T / 4, 0)), m.prepImage("mona", mag=4, sigma=(0, T / 4, 0)))
fig = m.figure(figsize=(8, 10))
m.show(img[0], 321, "original")
m.show(img[1], 322, "original")
print "generating gratings..."
offset = round(offset * img[0].shape[0]) # convert to pixels
dims = img[0].shape
dims = (dims[0] + offset, dims[1], dims[2])
g1 = m.makeCarrier(dims, T)
g2 = g1.copy()
# iterative adjustment of gratings to images
L = 0.04 # learning rate
niter = 501 # of iterations
for i in range(niter):
if i % 25 == 0:
print "iteration [%4d/%4d]" % (i, niter)
# update gratings
err1 = (1 - img[0]) / 2 - (g1[:-offset, :, :] - g2[offset:, :, :])
err2 = (1 - img[1]) / 2 - (g2[:-offset, :, :] - g1[offset:, :, :])
g1[:-offset, :, :] += L * err1
g2[offset:, :, :] -= L * err1
"""
import moirelib as m
T = 1. / 40 # grating period
offset = 1. / 8 # superposition offset
print 'pre-processing images...'
img = m.prepImage('audrey', mag=4, sigma=(0, T / 4., 0))
fig = m.figure(figsize=(8, 10))
m.show(img, 311, 'original')
# carrier phase image: horizontal gradient with slope 1/T
offset = round(offset * img.shape[0]) # convert to pixels
dims = (img.shape[0] + offset, img.shape[1], img.shape[2])
g = m.makeCarrier(dims, T)
print 'computing gratings...'
L = 0.04 # learning rate
niter = 501 # of iterations
for i in range(niter):
if i % 25 == 0:
print "iteration [%4d/%4d]" % (i, niter)
# update grating
err = (1 - img) / 2 - (g[0:-offset, :, :] - g[offset:, :, :])
g[0:-offset, :, :] += L * err
g[offset:, :, :] -= L * err
g = m.smoothenPhase(g, 1e-4 / T)