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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def SNR_IEC(i1, i2, ibg=0, allow_color_images=False):
    '''
    Calculate the averaged signal-to-noise ratio SNR50
    as defined by IEC NP 60904-13

    needs 2 reference EL images and one background image
    '''
    # ensure images are type float64 (double precision):
    i1 = np.asfarray(i1)
    i2 = np.asfarray(i2)
    if ibg is not 0:
        ibg = np.asfarray(ibg)
        assert i1.shape == ibg.shape, 'all input images need to have the same resolution'

    assert i1.shape == i2.shape, 'all input images need to have the same resolution'
    if not allow_color_images:
        assert i1.ndim == 2, 'Images need to be in grayscale according to the IEC standard'

    # SNR calculation as defined in 'IEC TS 60904-13':
    signal = 0.5 * (i1 + i2) - ibg
    noise = 0.5**0.5 * np.abs(i1 - i2) * ((2 / np.pi)**-0.5)
    if signal.ndim == 3:  # color
        signal = np.average(signal, axis=2, weights=(0.114, 0.587, 0.299))
        noise = np.average(noise, axis=2, weights=(0.114, 0.587, 0.299))
    signal = signal.sum()
    noise = noise.sum()
    return signal / noise