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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 simple_highlight(img1, img2, opts):
 """Try to align the two images to minimize pixel differences. Produces two masks for img1 and img2. The algorithm works by comparing every possible alignment of the images, finding the aligment that minimzes the differences, and then smoothing it a bit to reduce spurious matches in areas that are perceptibly different (e.g. text). """


    try:
        diff, ((x1, y1), (x2, y2)) = best_diff(img1, img2, opts)
    except KeyboardInterrupt:
        return None, None
    diff = diff.filter(ImageFilter.MaxFilter(9))
    diff = tweak_diff(diff, opts.opacity)
    # If the images have different sizes, the areas outside the alignment
    # zone are considered to be dissimilar -- filling them with 0xff.
    # Perhaps it would be better to compare those bits with bars of solid
    # color, filled with opts.bgcolor?
    mask1 = Image.new('L', img1.size, 0xff)
    mask2 = Image.new('L', img2.size, 0xff)
    mask1.paste(diff, (x1, y1))
    mask2.paste(diff, (x2, y2))
    return mask1, mask2