基于sm3算法用python写一个给图片加密注入盲水印的代码
时间: 2023-04-07 15:05:20 浏览: 119
我可以回答这个问题。您可以使用Python的Pillow库来处理图像,使用sm3算法进行哈希计算,然后将哈希值嵌入图像中作为盲水印。以下是一个示例代码:
```python
from PIL import Image
import hashlib
# 加载图像
img = Image.open('image.jpg')
# 计算哈希值
hash = hashlib.sm3(img.tobytes())
# 将哈希值嵌入图像中
img.putpixel((0, 0), hash)
# 保存图像
img.save('watermarked_image.jpg')
```
请注意,这只是一个简单的示例代码,实际应用中需要更复杂的算法和技术来保证盲水印的安全性和可靠性。
相关问题
用python写一个解密提取盲水印sm3算法加密注入盲水印的图片的代码
我可以回答这个问题。以下是用Python编写解密提取盲水印SM3算法加密注入盲水印的图片的代码:
```python
import hashlib
from PIL import Image
def extract_watermark(image_path, watermark_length):
# Open the image and get the pixel data
image = Image.open(image_path)
pixels = list(image.getdata())
# Extract the watermark from the image
watermark = []
for i in range(watermark_length):
pixel = pixels[i]
r, g, b = pixel[0], pixel[1], pixel[2]
watermark_byte = (r & 0x03) << 6 | (g & 0x03) << 4 | (b & 0x03) << 2
watermark.append(watermark_byte)
# Hash the watermark to verify its integrity
hash = hashlib.new('sm3')
hash.update(bytes(watermark))
if hash.digest() != pixels[watermark_length]:
raise Exception('Watermark hash does not match')
return watermark
def embed_watermark(image_path, watermark, output_path):
# Open the image and get the pixel data
image = Image.open(image_path)
pixels = list(image.getdata())
# Embed the watermark in the image
for i in range(len(watermark)):
watermark_byte = watermark[i]
pixel = pixels[i]
r, g, b = pixel[0], pixel[1], pixel[2]
r = (r & 0xFC) | ((watermark_byte >> 6) & 0x03)
g = (g & 0xFC) | ((watermark_byte >> 4) & 0x03)
b = (b & 0xFC) | ((watermark_byte >> 2) & 0x03)
pixels[i] = (r, g, b)
# Hash the watermark and embed it in the image
hash = hashlib.new('sm3')
hash.update(bytes(watermark))
pixels.append(hash.digest())
# Save the watermarked image
watermarked_image = Image.new(image.mode, image.size)
watermarked_image.putdata(pixels)
watermarked_image.save(output_path)
```
这个代码可以用来提取和嵌入盲水印SM3算法加密注入的图片。提取水印需要提供图片路径和水印长度,而嵌入水印需要提供图片路径、水印和输出路径。
用python3写能够对图片进行sm3加密注入盲水印的代码,再写一个能够进行sm3解密提取盲水印的代码
我可以回答这个问题。以下是用Python3编写的对图片进行SM3加密注入盲水印的代码:
```python
import hashlib
from PIL import Image
def sm3_hash(data):
return hashlib.sm3(data).hexdigest()
def embed_watermark(image_path, watermark):
image = Image.open(image_path)
width, height = image.size
watermark_hash = sm3_hash(watermark.encode('utf-8'))
for x in range(width):
for y in range(height):
pixel = list(image.getpixel((x, y)))
pixel_hash = sm3_hash(str(pixel).encode('utf-8'))
if pixel_hash == watermark_hash:
continue
pixel.append(int(watermark_hash[x % len(watermark_hash)]))
image.putpixel((x, y), tuple(pixel))
image.save(image_path)
def extract_watermark(image_path, watermark_length):
image = Image.open(image_path)
width, height = image.size
watermark_hash = ''
for x in range(width):
for y in range(height):
pixel = list(image.getpixel((x, y)))
watermark_hash += str(pixel[-1])
if len(watermark_hash) == watermark_length:
return watermark_hash
return None
```
使用方法:
```python
# 加密注入盲水印
image_path = 'image.png'
watermark = 'This is a watermark'
embed_watermark(image_path, watermark)
# 解密提取盲水印
watermark_length = len(sm3_hash(watermark.encode('utf-8')))
extracted_watermark = extract_watermark(image_path, watermark_length)
print(extracted_watermark)
```
注意:这个代码只是一个简单的示例,实际使用时需要考虑更多的安全性和可靠性问题。