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import unittest
#import math
import os
#import timeit
import numpy as np
from ccpi.filters.regularisers import FGP_TV, SB_TV, TGV, LLT_ROF, FGP_dTV, NDF, Diff4th, ROF_TV, PD_TV
from testroutines import BinReader, rmse
###############################################################################
class TestRegularisers(unittest.TestCase):
def getPars(self):
#filename = os.path.join("test","lena_gray_512.tif")
#plt = TiffReader()
filename = os.path.join("test","test_imageLena.bin")
plt = BinReader()
# read image
Im = plt.imread(filename)
Im = np.asarray(Im, dtype='float32')
Im = Im / 255
perc = 0.05
u0 = Im + np.random.normal(loc=0,
scale=perc * Im,
size=np.shape(Im))
u_ref = Im + np.random.normal(loc=0,
scale=0.01 * Im,
size=np.shape(Im))
u0 = u0.astype('float32')
u_ref = u_ref.astype('float32')
return Im,u0,u_ref
def test_FGP_TV_CPU(self):
Im,input,ref = self.getPars()
fgp_cpu,info = FGP_TV(input,0.02,300,0.0,0,0,'cpu');
rms = rmse(Im, fgp_cpu)
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_PD_TV_CPU(self):
Im,input,ref = self.getPars()
pd_cpu,info = PD_TV(input, 0.02, 300, 0.0, 0, 0, 8, 0.0025, 'cpu');
rms = rmse(Im, pd_cpu)
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_TV_ROF_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
fgp_cpu,info = ROF_TV(input,0.02,1000,0.001,0.0, 'cpu')
rms = rmse(Im, fgp_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_SB_TV_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
sb_cpu,info = SB_TV(input,0.02,150,0.0,0,'cpu')
rms = rmse(Im, sb_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_TGV_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
tgv_cpu,info = TGV(input,0.02,1.0,2.0,500,12,0.0,'cpu')
rms = rmse(Im, tgv_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_LLT_ROF_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
sb_cpu,info = LLT_ROF(input,0.01,0.008,1000,0.001,0.0,'cpu')
rms = rmse(Im, sb_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms,0.02,delta=0.01)
def test_NDF_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
sb_cpu,info = NDF(input, 0.02, 0.17,1000,0.01,1,0.0, 'cpu')
rms = rmse(Im, sb_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms, 0.02, delta=0.01)
def test_Diff4th_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
sb_cpu,info = Diff4th(input, 0.8,0.02,1000,0.001,0.0, 'cpu')
rms = rmse(Im, sb_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms, 0.02, delta=0.01)
def test_FGP_dTV_CPU(self):
# set parameters
Im, input,ref = self.getPars()
# call routine
sb_cpu,info = FGP_dTV(input,ref,0.02,500,0.0,0.2,0,0, 'cpu')
rms = rmse(Im, sb_cpu)
# now test that it generates some expected output
self.assertAlmostEqual(rms, 0.02, delta=0.01)
if __name__ == '__main__':
unittest.main()
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