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:/python/pixel_image/awesome_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() 
