def METHOD_NAME(load_image, image_shape, rgb_channel):
    test_image = load_image(image_shape, rgb_channel)
    b_channel = test_image[:, :, 0]
    alpha_channel = np.ones(b_channel.shape, dtype=b_channel.dtype) * 50
    masked_image = np.dstack((test_image, alpha_channel))
    split_alpha_img, alpha_mode = split_and_normalize_alpha_channel(
        masked_image)
    assert np.all(split_alpha_img == test_image)