Python实现图片像素化的代码实例

from PIL import Imagedef init():    # 设置每个像素区块的大小    block_size = 75    img = Image.open("a.jpg")    # 获取图片的宽高    width, height = img.size    # 获取像素点对应RGB颜色值，可以改变img_array中的值来改变颜色值    img_array = img.load()    # 为了处理最后的区块，加了一次循环    max_width = width + block_size    max_height = height + block_size    for x in range(block_size - 1, max_width, block_size):        for y in range(block_size - 1, max_height, block_size):            # 如果是最后一次循环，则x坐标等于width - 1            if x == max_width - max_width % block_size - 1:                x = width - 1            # 如果是最后一次循环，则x坐标等于height - 1            if y == max_height - max_height % block_size - 1:                y = height - 1            # 改变每个区块的颜色值            change_block(x, y, block_size, img_array)            y += block_size        x += block_size    img.save(r'D:pythonpixel_imagewesome_copy.png')    img.show()""":param x坐标 x: :param y坐标 y: :param 区块大小 black_size: :param 可操作图片数组 img_array: """def change_block(x, y, black_size, img_array):    color_dist = {}    block_pos_list = []    for pos_x in range(-black_size + 1, 1):        for pos_y in range(-black_size + 1, 1):            # todo print(x + pos_x,y + pos_y)            block_pos_list.append([x + pos_x, y + pos_y])    for pixel in block_pos_list:        if not str(img_array[pixel[0], pixel[1]]) in color_dist.keys():            color_dist[str(img_array[pixel[0], pixel[1]])] = 1        else:            color_dist[str(img_array[pixel[0], pixel[1]])] += 1    # key-->value => value-->key    new_dict = {v: k for k, v in color_dist.items()}    max_color = new_dict[max(color_dist.values())]    # 将区块内所有的颜色值设置为颜色最多的颜色    for a in block_pos_list:        img_array[a[0], a[1]] = tuple(list(map(int, max_color[1:len(max_color) - 1].split(","))))def get_key(dict, value):    return [k for k, v in dict.items() if v == value]if __name__ == "__main__":    init()