'Test smoothing of an image with a single positive pixel
Instead of using kernel class, uses a simple, small kernel'

@pytest.mark.parametrize(u'width', WIDTHS_ODD)
def test_uniform_smallkernel(self, width):

    kernel = np.ones([width, width])
    c2 = convolve_fft(delta_pulse_2D, kernel, boundary=u'fill')
    c1 = convolve(delta_pulse_2D, kernel, boundary=u'fill')
    assert_almost_equal(c1, c2, decimal=12)
