def make_grayscale(img: ImageType) -> ImageType: """ Convert an Image to grayscale :param img: a PIL image in color (modes P, RGBA, RGB, CMYK, YCbCr, LAB or HSV) :return: a PIL image object in modes P, L or RGBA, if converted, or the original Image object in case no conversion is done. """ orig_mode = img.mode if orig_mode in ["RGB", "CMYK", "YCbCr", "LAB", "HSV"]: return img.convert("L") elif orig_mode == "RGBA": return img.convert("LA").convert("RGBA") elif orig_mode == "P": # Using ITU-R 601-2 luma transform: L = R * 299/1000 + G * 587/1000 + B * 114/1000 pal = img.getpalette() for i in range(len(pal) // 3): # Using ITU-R 601-2 luma transform g = (pal[3 * i] * 299 + pal[3 * i + 1] * 587 + pal[3 * i + 2] * 114) // 1000 pal[3 * i:3 * i + 3] = [g, g, g] img.putpalette(pal) return img else: return img
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())
def remove_transparency(img: ImageType, bg_color=DEFAULT_BG_COLOR) -> ImageType: """Remove alpha transparency from PNG images Expects a PIL.Image object and returns an object of the same type with the changes applied. Special thanks to Yuji Tomita and Takahashi Shuuji (https://stackoverflow.com/a/33507138) """ if img.mode in ('RGBA', 'LA') or (img.mode == 'P' and 'transparency' in img.info): orig_image = img.convert('RGBA') background = Image.new('RGBA', orig_image.size, bg_color) img = Image.alpha_composite(background, orig_image) return img.convert("RGB") else: return img
def downsize_img(img: ImageType, max_w: int, max_h: int) -> Tuple[ImageType, bool]: """ Reduce the size of an image to the indicated maximum dimensions This function takes a PIL.Image object and integer values for the maximum allowed width and height (a zero value means no maximum constraint), calculates the size that meets those constraints and resizes the image. The resize is done in place, changing the original object. Returns a boolean indicating if the image was changed. """ w, h = img.size # Assume 0 as current size if not max_w: max_w = w if not max_h: max_h = h if (max_w, max_h) == (w, h): # If no changes, do nothing return img, False img.thumbnail((max_w, max_h), resample=Image.LANCZOS) return img, True
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())