如何优化基于CFFI的Raylib图像切片函数？

我正在用CFFI和Raylib开发一款小型游戏引擎，实现了一个图像切片功能函数，功能正常但运行速度极慢。原函数代码如下：

def slice(path, size):
    slices = []
    base_image = ffi.new("Image*", LoadImage(path.encode("ascii")))
    for y in range(0, base_image.height, size[1]):
        for x in range(0, base_image.width, size[0]):
            image = ffi.new("Image*", LoadImage(path.encode("ascii"))) # 问题出在这里
            ImageCrop(image, (x, y, x+size[0], y+size[1]))
            slices.append(image[0])
    return slices

我尝试了两种修改方式，但都无法正常运行：

方式一 #

def slice(path, size):
    slices = []
    base_image = ffi.new("Image*", LoadImage(path.encode("ascii")))
    for y in range(0, base_image.height, size[1]):
        for x in range(0, base_image.width, size[0]):
            image = base_image 
            ImageCrop(image, (x, y, x+size[0], y+size[1]))
            slices.append(image[0])
    return slices

方式二 #

import copy
def slice(path, size):
    slices = []
    base_image = ffi.new("Image*", LoadImage(path.encode("ascii")))
    for y in range(0, base_image.height, size[1]):
        for x in range(0, base_image.width, size[0]):
            image = copy.copy(base_image) 
            ImageCrop(image, (x, y, x+size[0], y+size[1]))
            slices.append(image[0])
    return slices

内容的提问来源于stack exchange，提问作者Ayoub Meziane