def remove_water_footer(path, newPath):
    """
    去除水印
    """
    # https://zhuanlan.zhihu.com/p/138169619
    img=cv2.imread(path,1)
    hight,width,depth=img.shape[0:3]
    height = hight

    #截取
    # cropped = img[int(hight*0.8):hight, int(width*0.7):width]  # 裁剪坐标为[y0:y1, x0:x1]
    #cropped = cropped_img(img,
    #height=height,
    #width=width)
    cropped_size = cropped_img_size(
    height=height,
    width=width)
    cropped = img[cropped_size[0][0]: cropped_size[0][1], cropped_size[1][0]: cropped_size[1][1]]
    cv2.imwrite(newPath, cropped)
    imgSY = cv2.imread(newPath,1)

    #图片二值化处理，把[200,200,200]-[250,250,250]以外的颜色变成 0
    # thresh = cv2.inRange(imgSY,np.array([200,200,200]),np.array([250,250,250]))
    thresh = cv2.inRange(imgSY,np.array([24, 43, 48]),np.array([160,180,190]))
    #创建形状和尺寸的结构元素
    kernel = np.ones((3,3),np.uint8)
    #扩展待修复区域
    hi_mask = cv2.dilate(thresh,kernel,iterations=10)
    specular = cv2.inpaint(imgSY,hi_mask,5,flags=cv2.INPAINT_TELEA)
    cv2.imwrite(newPath, specular)

    #覆盖图片
    imgSY = Image.open(newPath)
    img = Image.open(path)
    # img.paste(imgSY, (int(width*0.7),int(hight*0.8),width,hight))
    img.paste(imgSY, (cropped_size[1][0],cropped_size[0][0],cropped_size[1][1],cropped_size[0][1]))
    img.save(newPath)
    logger.info("去除水印: `{}` => `{}`".format(path, newPath))

我在网上搜的,但是这个样子会留下背景版,如果吧整个水印都删除呢,

也就是指定区域的部分都删除,这种效果该怎么做呢?