Exemplos de bright_att em Python

Exemplo n.º 1

Arquivo: 亮度调高攻击.py Projeto: zyh1234/blind_watermark

# -*- coding: utf-8 -*-
# run origin.py to generate the embedded image

from blind_watermark import att

# 亮度调高攻击
att.bright_att('output/embedded.png', 'output/亮度调高攻击.png', ratio=1.1)

#%% 提取水印
from blind_watermark import WaterMark

bwm1 = WaterMark(password_wm=1, password_img=1)
bwm1.extract(filename='output/亮度调高攻击.png', wm_shape=(128, 128), out_wm_name='output/亮度调高攻击_提取水印.png')

Exemplo n.º 2

Arquivo: example_str.py Projeto: r4b3rt/blind_watermark

bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract('output/多遮挡攻击.png', wm_shape=len_wm, mode='str')
print(f"遮挡攻击{n}次后的提取结果：", wm_extract)
assert wm == wm_extract, '提取水印和原水印不一致'

# %%缩放攻击
att.resize_att(input_filename='output/embedded.png',
               output_file_name='output/缩放攻击.png',
               out_shape=(400, 300))
att.resize_att(input_filename='output/缩放攻击.png',
               output_file_name='output/缩放攻击_还原.png',
               out_shape=ori_img_shape[::-1])
# out_shape 是分辨率，需要颠倒一下

bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract('output/缩放攻击_还原.png', wm_shape=len_wm, mode='str')
print("缩放攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'
# %%

att.bright_att(input_filename='output/embedded.png',
               output_file_name='output/亮度攻击.png',
               ratio=0.9)
att.bright_att(input_filename='output/亮度攻击.png',
               output_file_name='output/亮度攻击_还原.png',
               ratio=1.1)
wm_extract = bwm1.extract('output/亮度攻击_还原.png', wm_shape=len_wm, mode='str')

print("亮度攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'

Exemplo n.º 3

Arquivo: 亮度调暗攻击.py Projeto: mcproj/blind_watermark

from blind_watermark import att

#%% 亮度调低攻击
att.bright_att('output/打上水印的图.png', 'output/亮度调低攻击.png', ratio=0.9)

#%% 提取水印
from blind_watermark import WaterMark

bwm1 = WaterMark(4399, 2333, 36, 20, wm_shape=(128, 128))
bwm1.extract('output/亮度调低攻击.png', 'output/亮度调低攻击_提取水印.png')

Exemplo n.º 4

# -*- coding: utf-8 -*-
# run origin.py to generate the embedded image
from blind_watermark import att

# %% 亮度调低攻击
att.bright_att('output/embedded.png', 'output/亮度调低攻击.png', ratio=0.9)

# %% 提取水印
from blind_watermark import WaterMark

bwm1 = WaterMark(password_wm=1, password_img=1)
bwm1.extract(filename='output/亮度调低攻击.png',
             wm_shape=(128, 128),
             out_wm_name='output/亮度调低攻击_提取水印.png')

Exemplo n.º 5

# %%遮挡攻击
n = 60
att.shelter_att('output/embedded.png', 'output/多遮挡攻击.png', ratio=0.1, n=n)

# 提取
bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract('output/多遮挡攻击.png', wm_shape=len_wm, mode='str')
print(f"遮挡攻击{n}次后的提取结果：", wm_extract)
assert wm == wm_extract, '提取水印和原水印不一致'

# %%缩放攻击
att.resize_att('output/embedded.png', 'output/缩放攻击.png', out_shape=(400, 300))
att.resize_att('output/缩放攻击.png',
               'output/缩放攻击_还原.png',
               out_shape=ori_img_shape[::-1])
# out_shape 是分辨率，需要颠倒一下

bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract('output/缩放攻击_还原.png', wm_shape=len_wm, mode='str')
print("缩放攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'
# %%

att.bright_att('output/embedded.png', 'output/亮度攻击.png', ratio=0.9)
att.bright_att('output/亮度攻击.png', 'output/亮度攻击_还原.png', ratio=1.1)
wm_extract = bwm1.extract('output/亮度攻击_还原.png', wm_shape=len_wm, mode='str')

print("亮度攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'

Exemplo n.º 6

from blind_watermark import att

# 亮度调高攻击
att.bright_att('output/打上水印的图.png', 'output/亮度调高攻击.png', ratio=1.1)

#%% 提取水印
from blind_watermark import WaterMark

bwm1 = WaterMark(password_wm=1, password_img=1)
bwm1.extract(filename='output/亮度调高攻击.png',
             wm_shape=(128, 128),
             out_wm_name='output/亮度调高攻击_提取水印.png')

Exemplo n.º 7

assert wm == wm_extract, '提取水印和原水印不一致'

# %%遮挡攻击
n = 60
img_attacked = att.shelter_att(input_img=embed_img, ratio=0.1, n=n)

# 提取
bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract(embed_img=img_attacked, wm_shape=len_wm, mode='str')
print(f"遮挡攻击{n}次后的提取结果：", wm_extract)
assert wm == wm_extract, '提取水印和原水印不一致'

# %%缩放攻击
img_attacked = att.resize_att(input_img=embed_img, out_shape=(400, 300))
img_recovered = att.resize_att(input_img=img_attacked,
                               out_shape=ori_img_shape[::-1])
# out_shape 是分辨率，需要颠倒一下

bwm1 = WaterMark(password_wm=1, password_img=1)
wm_extract = bwm1.extract(embed_img=img_recovered, wm_shape=len_wm, mode='str')
print("缩放攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'
# %%

img_attacked = att.bright_att(input_img=embed_img, ratio=0.9)
img_recovered = att.bright_att(input_img=img_attacked, ratio=1.1)
wm_extract = bwm1.extract(embed_img=img_recovered, wm_shape=len_wm, mode='str')

print("亮度攻击后的提取结果：", wm_extract)
assert np.all(wm == wm_extract), '提取水印和原水印不一致'