Scale the two images to [0, 1] based on min/max from both.

    Parameters
    -----------
    image_in : ndarray
        Input image

    exclude_outliers_{below,above} : float
        Lower/upper limit, a value between 0 and 100.

    Returns
    -------

    scaled_image : ndarray
        clipped and/or scaled image

def scale_0to1(image_in,
               exclude_outliers_below=False,
               exclude_outliers_above=False):
    """Scale the two images to [0, 1] based on min/max from both.

    Parameters
    -----------
    image_in : ndarray
        Input image

    exclude_outliers_{below,above} : float
        Lower/upper limit, a value between 0 and 100.

    Returns
    -------

    scaled_image : ndarray
        clipped and/or scaled image

    """

    min_value = image_in.min()
    max_value = image_in.max()
    # making a copy to ensure no side-effects
    image = image_in.copy()
    if exclude_outliers_below:
        perctl = float(exclude_outliers_below)
        image[image < np.percentile(image, perctl)] = min_value

    if exclude_outliers_above:
        perctl = float(exclude_outliers_above)
        image[image > np.percentile(image, 100.0 - perctl)] = max_value

    image = (image - min_value) / (max_value - min_value)

    return image