在Python中，可以使用Pillow庫來實現圖像的隱寫術與信息提取。

1. 圖像的隱藏：可以通過修改圖像的像素值來隱藏信息。以下是一個示例代碼：

from PIL import Image

def hide_text_in_image(image_path, text):
    img = Image.open(image_path)
    width, height = img.size
    binary_text = ''.join(format(ord(char), '08b') for char in text)
    index = 0
    for x in range(width):
        for y in range(height):
            pixel = list(img.getpixel((x, y)))
            for i in range(3):
                if index < len(binary_text):
                    pixel[i] = pixel[i] & 254 | int(binary_text[index])
                    index += 1
            img.putpixel((x, y), tuple(pixel))
    img.save("hidden_image.png")

hide_text_in_image("image.jpg", "Hello, this is a hidden message")

2. 信息提取：可以讀取圖像的像素值來提取隱藏的信息。以下是一個示例代碼：

from PIL import Image

def extract_text_from_image(image_path):
    img = Image.open(image_path)
    width, height = img.size
    binary_text = ""
    for x in range(width):
        for y in range(height):
            pixel = img.getpixel((x, y))
            for i in range(3):
                binary_text += str(pixel[i] & 1)
    text = ""
    for i in range(0, len(binary_text), 8):
        byte = binary_text[i:i+8]
        text += chr(int(byte, 2))
        if text[-5:] == "#####":
            break
    return text[:-5]

hidden_text = extract_text_from_image("hidden_image.png")
print(hidden_text)

通過以上代碼，可以實現圖像的隱藏和信息提取的功能。需要注意的是，隱藏的信息不要太長，以免影響圖像的質量。