"""
Load reference image.
"""
img = util.ExampleImages().image('monarch.png', scaled=True,
idxexp=np.s_[:,160:672], gray=True)
"""
Construct test image corrupted by 20% salt & pepper noise.
"""
np.random.seed(12345)
imgn = signal.spnoise(img, 0.2)
"""
Set regularization parameter and options for ℓ1-TV deconvolution solver. The regularization parameter used here has been manually selected for good performance.
"""
lmbda = 8e-1
opt = tvl1.TVL1Deconv.Options({'Verbose': True, 'MaxMainIter': 200,
'RelStopTol': 5e-3, 'gEvalY': False,
'AutoRho': {'Enabled': True}})
"""
Create solver object and solve, returning the the denoised image ``imgr``.
"""
def test_01(self):
img = np.random.randn(64, 64)
imgn = signal.spnoise(img, 0.5)
assert imgn.shape == img.shape