def goSino():
na,ka = 41,-20 # sampling for inverse A of wavelet in PS image
nh,kh = 41,-20 # sampling for wavelet H in PP image
nt,dt,ft = 501,0.004,0.000 # used for plotting only
nx,dx,fx = 721,0.015,0.000
sa = Sampling(na,dt,ka*dt)
sh = Sampling(nh,dt,kh*dt)
st = Sampling(nt,dt,ft)
sx = Sampling(nx,dx,fx)
tmin,tmax = 100,400 # PP time window
sfac = 1.000 # stabilization factor
wha = 0.000 # weight for HA = I terms
ha = True # True to find h, then a, then h, ...; False, for a, h, a, ...
niter = 0
f,g,u = getSinoImages() # PP image, PS image, and warping u(t,x)
ww = WaveletWarpingHA()
ww.setTimeRange(tmin,tmax)
ww.setStabilityFactor(sfac)
ww.setWeightHA(0.0)
slg = ww.applyS(u,ww.applyL(u,g)) # PS warping without wavelets
e1 = ww.rms(sub(f,slg))
for ha in [True,False]:
suffix = ""
if ha:
ag = zerofloat(na); ag[-ka] = 1.0 # initial inverse a in g
hf = ww.getWaveletH(nh,kh,na,ka,ag,u,f,g) # wavelet h in f
for jiter in range(niter):
ag = ww.getInverseA(na,ka,nh,kh,hf,u,f,g) # inverse a in g
hf = ww.getWaveletH(nh,kh,na,ka,ag,u,f,g) # wavelet h in f
else:
hf = zerofloat(nh); hf[-kh] = 1.0 # initial wavelet h in f
ag = ww.getWaveletH(na,ka,nh,kh,hf,u,f,g) # inverse a in g
for jiter in range(niter):
hf = ww.getWaveletH(nh,kh,na,ka,ag,u,f,g) # wavelet h in f
ag = ww.getInverseA(na,ka,nh,kh,hf,u,f,g) # inverse a in g
hg = ww.getWaveletH(na,ka,ag,nh,kh) # wavelet in g
hslag = ww.applyHSLA(na,ka,ag,nh,kh,hf,u,g) # PS warping with wavelets
ew = ww.rms(sub(f,hslag))
print " e1 =",e1," ew =",ew
rhslag = ww.rms(hslag); hslag = mul(hslag,1.0/rhslag)
print "rhslag =",rhslag
plotImage(st,sx,hslag,zoom=True,png="psww"+suffix)
plotWaveletsPpPs(sh,hf,hg,png="wavelets"+suffix)
rf = ww.rms(f); f = mul(f,1.0/rf)
rslg = ww.rms(slg); slg = mul(slg,1.0/rslg)
print "rf =",rf," rslg =",rslg
plotImage(st,sx,f,zoom=True,png="pp")
plotImage(st,sx,slg,zoom=True,png="psw1")
def goSino():
na,ka = 81,-40 # sampling for inverse A of wavelet in PS image
nh,kh = 81,-40 # sampling for wavelet H in PP image
nt,dt,ft = 501,0.004,0.000 # used for plotting only
nx,dx,fx = 721,0.015,0.000
sa = Sampling(na,dt,ka*dt)
sh = Sampling(nh,dt,kh*dt)
st = Sampling(nt,dt,ft)
sx = Sampling(nx,dx,fx)
tmin,tmax = 100,400 # PP time window
sfac = 1.000 # stabilization factor
wha = 0.000 # weight for HA = I terms
f,g,u = getSinoImages() # PP image, PS image, and warping u(t,x)
ww = WaveletWarpingHA()
ww.setTimeRange(tmin,tmax)
ww.setStabilityFactor(sfac)
slg = ww.applyS(u,ww.applyL(u,g)) # PS warping without wavelets
plotImage(st,sx,f,zoom=True,png="pp")
plotImage(st,sx,slg,zoom=True,png="psw1")
e1 = ww.rms(sub(f,slg))
for niter in [0,9]:
for wha in [0]:
print "niter =",niter," wha =",wha
suffix = str(niter)+str(int(wha))
ww.setWeightHA(wha)
ag = zerofloat(na); ag[-ka] = 1.0 # initial inverse a in g
hf = ww.getWaveletH(nh,kh,na,ka,ag,u,f,g) # wavelet h in f
for jiter in range(niter):
ag = ww.getInverseA(na,ka,nh,kh,hf,u,f,g) # inverse a in g
hf = ww.getWaveletH(nh,kh,na,ka,ag,u,f,g) # wavelet h in f
hg = ww.getWaveletH(na,ka,ag,nh,kh) # wavelet in g
hslag = ww.applyHSLA(na,ka,ag,nh,kh,hf,u,g) # PS warping with wavelets
#hslag = mul(hslag,ww.rms(f)/ww.rms(hslag))
ew = ww.rms(sub(f,hslag))
print " e1 =",e1," ew =",ew
plotImage(st,sx,hslag,zoom=True,png="psww"+suffix)
plotWaveletsPpPs(sh,hf,hg,png="wavelets"+suffix)
