def testewt2dCurvelet2Odd(self):
#Tests empirical curvelet transform + reconstruction for odd images
self.f = self.f[0:-1, 0:-1]
self.params.option = 2
[ewtc, mfb, b1, b2] = ewt2d.ewt2dCurvelet(self.f, self.params)
recon = ewt2d.iewt2dCurvelet(ewtc, mfb)
self.assertTrue(np.sum((recon - self.f)**2) < 10**(-10))
def testewt2dCurvelet1Even(self):
#Tests empirical curvelet transform + reconstruction for even images
f = np.genfromtxt('Tests/2d/texture.csv', delimiter=',')
f = (f - np.min(f)) / (np.max(f) - np.min(f))
params = ewt.utilities.ewt_params()
[ewtc, mfb, b1, b2] = ewt2d.ewt2dCurvelet(f, params)
recon = ewt2d.iewt2dCurvelet(ewtc, mfb)
self.assertTrue(np.sum((recon - f)**2) < 10**(-10))
def testewt2dCurvelet3Even(self):
#Tests empirical curvelet transform + reconstruction for even images
self.params.option = 3
[ewtc, mfb, b1, b2] = ewt2d.ewt2dCurvelet(self.f, self.params)
recon = ewt2d.iewt2dCurvelet(ewtc, mfb)
self.assertTrue(np.sum((recon - self.f)**2) < 10**(-10))