Python:如何将图像分割成块。然后加入到原始图像中

import numpy as np
from PIL import Image

original_image = Image.open("original_image.jpg")  # 替换为原始图像的路径

original_image_array = np.array(original_image)

block_size = 64  # 块的大小
overlap_size = 10  # 重叠区域的大小

def split_image_into_blocks(image_array, block_size, overlap_size):
    blocks = []
    height, width, channels = image_array.shape
    for y in range(0, height - block_size + 1, block_size - overlap_size):
        for x in range(0, width - block_size + 1, block_size - overlap_size):
            block = image_array[y:y + block_size, x:x + block_size, :]
            blocks.append(block)
    return blocks

image_blocks = split_image_into_blocks(original_image_array, block_size, overlap_size)

output_image_array = np.zeros_like(original_image_array)
for i, block in enumerate(image_blocks):
    y = (block_size - overlap_size) * (i // ((original_image_array.shape[1] - overlap_size) // (block_size - overlap_size)))
    x = (block_size - overlap_size) * (i % ((original_image_array.shape[1] - overlap_size) // (block_size - overlap_size)))
    output_image_array[y:y + block_size, x:x + block_size, :] = block

output_image = Image.fromarray(output_image_array)
output_image.save("output_image.jpg")  # 保存输出图像