Exemplo n.º 1
0
def test_wavelet_decomposition3d_and_reconstruction3d():
    # Test 3D wavelet decomposition and reconstruction and verify that
    # they perform as expected
    x = np.random.rand(16, 16, 16)
    mode = 'sym'
    wbasis = pywt.Wavelet('db5')
    nscales = 1
    wavelet_coeffs = wavelet_decomposition3d(x, wbasis, mode, nscales)
    aaa = wavelet_coeffs[0]
    reference = pywt.dwtn(x, wbasis, mode)
    aaa_reference = reference['aaa']
    assert all_almost_equal(aaa, aaa_reference)

    reconstruction = wavelet_reconstruction3d(wavelet_coeffs, wbasis, mode,
                                              nscales)
    reconstruction_reference = pywt.idwtn(reference, wbasis, mode)
    assert all_almost_equal(reconstruction, reconstruction_reference)
    assert all_almost_equal(reconstruction, x)
    assert all_almost_equal(reconstruction_reference, x)

    wbasis = pywt.Wavelet('db1')
    nscales = 3
    wavelet_coeffs = wavelet_decomposition3d(x, wbasis, mode, nscales)
    shape_true = (nscales + 1, )
    assert all_equal(np.shape(wavelet_coeffs), shape_true)

    reconstruction = wavelet_reconstruction3d(wavelet_coeffs, wbasis, mode,
                                              nscales)
    assert all_almost_equal(reconstruction, x)
Exemplo n.º 2
0
def test_wavelet_decomposition3d_and_reconstruction3d():
    # Test 3D wavelet decomposition and reconstruction and verify that
    # they perform as expected
    x = np.random.rand(16, 16, 16)
    mode = 'sym'
    wbasis = pywt.Wavelet('db5')
    nscales = 1
    wavelet_coeffs = wavelet_decomposition3d(x, wbasis, mode, nscales)
    aaa = wavelet_coeffs[0]
    reference = pywt.dwtn(x, wbasis, mode)
    aaa_reference = reference['aaa']
    assert all_almost_equal(aaa, aaa_reference)

    reconstruction = wavelet_reconstruction3d(wavelet_coeffs, wbasis, mode,
                                              nscales)
    reconstruction_reference = pywt.idwtn(reference, wbasis, mode)
    assert all_almost_equal(reconstruction, reconstruction_reference)
    assert all_almost_equal(reconstruction, x)
    assert all_almost_equal(reconstruction_reference, x)

    wbasis = pywt.Wavelet('db1')
    nscales = 3
    wavelet_coeffs = wavelet_decomposition3d(x, wbasis, mode, nscales)
    shape_true = (nscales + 1, )
    assert all_equal(np.shape(wavelet_coeffs), shape_true)

    reconstruction = wavelet_reconstruction3d(wavelet_coeffs, wbasis, mode,
                                              nscales)
    assert all_almost_equal(reconstruction, x)
Exemplo n.º 3
0
def test_pywt_coeff_to_array_and_array_to_pywt_coeff():
    # Verify that the helper function does indeed work as expected
    wbasis = pywt.Wavelet('db1')
    mode = 'zpd'
    nscales = 2
    n = 16
    # 1D test
    size_list = coeff_size_list((n,), nscales, wbasis, mode)
    x = np.random.rand(n)
    coeff_list = pywt.wavedec(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_list, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(np.prod(shape) for shape in size_list[1:-1])
    assert all_equal(len(coeff_arr), length_of_array)

    coeff_list2 = array_to_pywt_coeff(coeff_arr, size_list)
    assert all_equal(coeff_list, coeff_list2)
    reconstruction = pywt.waverec(coeff_list2, wbasis, mode)
    assert all_almost_equal(reconstruction, x)

    # 2D test
    size_list = coeff_size_list((n, n), nscales, wbasis, mode)
    x = np.random.rand(n, n)
    coeff_list = pywt.wavedec2(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_list, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(3 * np.prod(shape) for shape in size_list[1:-1])
    assert all_equal(len(coeff_arr), length_of_array)

    coeff_list2 = array_to_pywt_coeff(coeff_arr, size_list)
    assert all_equal(coeff_list, coeff_list2)
    reconstruction = pywt.waverec2(coeff_list2, wbasis, mode)
    assert all_almost_equal(reconstruction, x)

    # 3D test
    size_list = coeff_size_list((n, n, n), nscales, wbasis, mode)
    x = np.random.rand(n, n, n)
    coeff_dict = wavelet_decomposition3d(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_dict, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(7 * np.prod(shape) for shape in size_list[1:-1])
    assert len(coeff_arr) == length_of_array

    coeff_dict2 = array_to_pywt_coeff(coeff_arr, size_list)
    reconstruction = wavelet_reconstruction3d(coeff_dict2, wbasis, mode,
                                              nscales)
    assert all_equal(coeff_dict, coeff_dict)
    assert all_almost_equal(reconstruction, x)
Exemplo n.º 4
0
def test_pywt_coeff_to_array_and_array_to_pywt_coeff():
    # Verify that the helper function does indeed work as expected
    wbasis = pywt.Wavelet('db1')
    mode = 'zpd'
    nscales = 2
    n = 16
    # 1D test
    size_list = coeff_size_list((n,), nscales, wbasis, mode)
    x = np.random.rand(n)
    coeff_list = pywt.wavedec(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_list, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(np.prod(shape) for shape in size_list[1:-1])
    assert all_equal(len(coeff_arr), length_of_array)

    coeff_list2 = array_to_pywt_coeff(coeff_arr, size_list)
    assert all_equal(coeff_list, coeff_list2)
    reconstruction = pywt.waverec(coeff_list2, wbasis, mode)
    assert all_almost_equal(reconstruction, x)

    # 2D test
    size_list = coeff_size_list((n, n), nscales, wbasis, mode)
    x = np.random.rand(n, n)
    coeff_list = pywt.wavedec2(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_list, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(3 * np.prod(shape) for shape in size_list[1:-1])
    assert all_equal(len(coeff_arr), length_of_array)

    coeff_list2 = array_to_pywt_coeff(coeff_arr, size_list)
    assert all_equal(coeff_list, coeff_list2)
    reconstruction = pywt.waverec2(coeff_list2, wbasis, mode)
    assert all_almost_equal(reconstruction, x)

    # 3D test
    size_list = coeff_size_list((n, n, n), nscales, wbasis, mode)
    x = np.random.rand(n, n, n)
    coeff_dict = wavelet_decomposition3d(x, wbasis, mode, nscales)
    coeff_arr = pywt_coeff_to_array(coeff_dict, size_list)
    assert isinstance(coeff_arr, (np.ndarray))
    length_of_array = np.prod(size_list[0])
    length_of_array += sum(7 * np.prod(shape) for shape in size_list[1:-1])
    assert len(coeff_arr) == length_of_array

    coeff_dict2 = array_to_pywt_coeff(coeff_arr, size_list)
    reconstruction = wavelet_reconstruction3d(coeff_dict2, wbasis, mode,
                                              nscales)
    assert all_equal(coeff_dict, coeff_dict)
    assert all_almost_equal(reconstruction, x)