コード例 #1
0
def rebuild_palette(img: ImageType) -> Tuple[ImageType, int]:
    """ Rebuild the palette of a mode "P" PNG image
    It may allow for other tools, like PNGOUT and AdvPNG, to further reduce the
    size of some indexed PNG images. However, it it was already an optimized PNG,
    the resulting file size may in fact be bigger (which means optimize-images
    may discard it by default). You may also want to use it as an intermediate
    process, before doing a final optimization using those tools.
    :param img: a mode "P" PNG image
    :return: a tuple composed by a mode "P" PNG image object and an integer
             with the resulting number of colors
    """
    w, h = img.size
    img = img.convert("RGBA")
    new_palette = Palette()
    alpha_layer = Image.new("L", img.size)

    for x in range(w):
        for y in range(h):
            r, g, b, a = img.getpixel((x, y))
            alpha_layer.putpixel((x, y), a)
            new_palette.add(r, g, b)

    img.putalpha(alpha_layer)
    palette = new_palette.get_palette()
    num_colors = len(palette) // 3
    img = img.convert("P", palette=palette, colors=num_colors)
    return img, len(img.getcolors())
コード例 #2
0
def do_reduce_colors(img: ImageType,
                     max_colors: int) -> Tuple[ImageType, int, int]:
    """ Reduce the number of colors of an Image object

    It takes a PIL image object and tries to reduce the total number of colors,
    converting it to an indexed color (mode P) image. If the input image is in
    mode 1, it cannot be further reduced, so it's returned back with no
    changes.

    :param img: a PIL image in color (modes P, RGBA, RGB, CMYK, YCbCr, LAB or HSV)
    :param max_colors: an integer indicating the maximum number of colors allowed.
    :return: a PIL image in mode P (or mode 1, as stated above), an integer
             indicating the original number of colors (0 if source is not a
             mode P or mode 1 image) and an integer stating the resulting
             number of colors.
    """
    orig_mode = img.mode

    if orig_mode == "1":
        return img, 2, 2

    colors = img.getcolors()
    if colors:
        orig_colors = len(colors)
    else:
        orig_colors = 0

    # Intermediate conversion steps when needed
    if orig_mode in ["CMYK", "YCbCr", "LAB", "HSV"]:
        img = img.convert("RGB")
    elif orig_mode == "LA":
        img = img.convert("RGBA")

    # Actual color reduction happening here
    if orig_mode in ["RGB", "L"]:
        palette = Image.ADAPTIVE
    elif orig_mode == "RGBA":
        palette = Image.ADAPTIVE
        transparent = Image.new("RGBA", img.size, (0, 0, 0, 0))
        # blend with transparent image using own alpha
        img = Image.composite(img, transparent, img)
    elif orig_mode == "P":
        palette = img.getpalette()
        img = img.convert("RGBA")
        w, h = img.size
        alpha_layer = Image.new("L", img.size)
        for x in range(w):
            for y in range(h):
                r, g, b, a = img.getpixel((x, y))
                alpha_layer.putpixel((x, y), a)
        img.putalpha(alpha_layer)
    else:
        return img, 0, 0

    img = img.convert("P", palette=palette, colors=max_colors)
    return img, orig_colors, len(img.getcolors())