def lotze_disarray(pic, reach, grain):
(h, w) = pic.fatFiducialDataPlane.shape
fiducialDOGScaleSpace = scl.DOGScaleSpace(pic)
ei_dat = hel.LotzeDisarray(fiducialDOGScaleSpace, reach, grain,
pic.numScaleLevels, w, h)
eidolon = pic.DisembedDataPlane(ei_dat)
return np.asarray(Image.fromarray(eidolon, 'L'))
def coherent_disarray(pic, reach):
"""Return a coherently scattered image"""
(h, w) = pic.fatFiducialDataPlane.shape
dog_scale_space = scl.DOGScaleSpace(pic)
ei_dat = hel.CoherentDisarray(dog_scale_space, reach, w, h, pic.MAX_SIGMA,
pic.numScaleLevels, pic.scaleLevels)
eidolon = pic.DisembedDataPlane(ei_dat)
return np.asarray(Image.fromarray(eidolon, 'L'))
def coherent_disarray_of_edges(pic, reach):
(h, w) = pic.fatFiducialDataPlane.shape
fiducialDOGScaleSpace = scl.DOGScaleSpace(pic)
eidolonDataPlane = hel.CoherentDisarray(fiducialDOGScaleSpace, reach, w, h,
pic.MAX_SIGMA, pic.numScaleLevels,
pic.scaleLevels)
eidolon = pic.DisembedDataPlane(eidolonDataPlane)
return np.asarray(Image.fromarray(eidolon, 'L'))
def superficial_disarray(pic, reach, grain):
(h, w) = pic.fatFiducialDataPlane.shape
b1 = noi.BlurredRandomGaussianDataPlane(w, h, grain)
xDisplacements = b1.blurredRandomGaussianDataPlane
b2 = noi.BlurredRandomGaussianDataPlane(w, h, grain)
yDisplacements = b2.blurredRandomGaussianDataPlane
eidolonDataPlane = hel.DataPlaneDisarray(pic.fatFiducialDataPlane,
xDisplacements, yDisplacements,
reach)
eidolon = pic.DisembedDataPlane(eidolonDataPlane)
return np.asarray(Image.fromarray(eidolon, 'L'))
def partially_coherent_disarray(pic, reach, coherence, grain):
fiducialDOGScaleSpace = scl.DOGScaleSpace(pic)
(h, w) = pic.fatFiducialDataPlane.shape
eidolonDataPlane = hel.PartiallyCoherentDisarray(fiducialDOGScaleSpace,
reach, coherence, grain,
w, h, pic.MAX_SIGMA,
pic.numScaleLevels,
pic.scaleLevels)
eidolon = pic.DisembedDataPlane(eidolonDataPlane)
return np.asarray(Image.fromarray(eidolon, 'L'))