可以使用python写出视频的LSB最低有效位隐写加解密脚本

当然可以！下面是一个使用Python编写的LSB隐写加解密脚本示例：

import cv2
import numpy as np

def hide_data_in_video(video_path, data):
    # 读取视频
    cap = cv2.VideoCapture(video_path)
    fps = cap.get(cv2.CAP_PROP_FPS)
    frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))

    # 将数据转换为二进制
    binary_data = ''.join(format(ord(char), '08b') for char in data)

    # 隐藏数据
    frame_index = 0
    bit_index = 0
    while cap.isOpened() and frame_index < frame_count and bit_index < len(binary_data):
        ret, frame = cap.read()
        if not ret:
            break

        # 获取当前像素的RGB值
        r, g, b = frame[:,:,0], frame[:,:,1], frame[:,:,2]

        # 将数据嵌入到最低有效位中
        r = np.bitwise_and(r, 0xFE) | int(binary_data[bit_index])
        bit_index += 1
        if bit_index < len(binary_data):
            g = np.bitwise_and(g, 0xFE) | int(binary_data[bit_index])
            bit_index += 1
        if bit_index < len(binary_data):
            b = np.bitwise_and(b, 0xFE) | int(binary_data[bit_index])
            bit_index += 1

        # 更新帧的RGB值
        frame[:,:,0], frame[:,:,1], frame[:,:,2] = r, g, b

        # 显示帧
        cv2.imshow('Steganography', frame)
        if cv2.waitKey(int(1000/fps)) & 0xFF == ord('q'):
            break

        frame_index += 1

    cap.release()
    cv2.destroyAllWindows()

def extract_data_from_video(video_path, data_length):
    # 读取视频
    cap = cv2.VideoCapture(video_path)
    frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))

    # 提取数据
    frame_index = 0
    bit_index = 0
    extracted_data = ''
    while cap.isOpened() and frame_index < frame_count and bit_index < data_length:
        ret, frame = cap.read()
        if not ret:
            break

        # 获取当前像素的RGB值
        r, g, b = frame[:,:,0], frame[:,:,1], frame[:,:,2]

        # 提取最低有效位中的数据
        extracted_data += str(r & 1)
        bit_index += 1
        if bit_index < data_length:
            extracted_data += str(g & 1)
            bit_index += 1
        if bit_index < data_length:
            extracted_data += str(b & 1)
            bit_index += 1

        frame_index += 1

    cap.release()
    return ''.join(chr(int(extracted_data[i:i+8], 2)) for i in range(0, len(extracted_data), 8))

# 测试代码
video_path = 'input.mp4'
data = 'Hello, World!'  # 要隐藏的数据

# 隐藏数据
hide_data_in_video(video_path, data)

# 提取数据
extracted_data = extract_data_from_video(video_path, len(data) * 8)
print('Extracted Data:', extracted_data)

上述脚本中，`hide_data_in_video`函数用于向视频中隐藏数据，`extract_data_from_video`函数用于从视频中提取隐藏的数据。隐藏数据时，我们将数据转换为二进制表示，并将其嵌入到每个像素的RGB通道的最低有效位中。提取数据时，我们逆向操作，提取每个像素的RGB通道的最低有效位并恢复为二进制数据，然后将其转换回原始数据。

请注意，该示例仅提供了基本的LSB隐写加解密功能，并可能不适用于所有视频格式和编解码器。在实际应用中，还需要考虑视频质量、压缩等因素，并根据需求进行适当的修改和扩展。