LSB算法——隐藏文字信息
LSB(Least Significant Bit)最低有效位,指二进制中最低位数值。
详见WiKi:https://en.wikipedia.org/wiki/Least_significant_bit
隐写术
隐写术是一种关于信息隐藏的技术,通常利用位图的RGB三种颜色值(0~255)在微小改变的情况下难以被人眼察觉的特点。每种颜色值都可以用8位二进制来表示,而最低有效位LSB技术就是通过修改最低几位的数值来将信息嵌入到图片中去。
详见WiKi:https://en.wikipedia.org/wiki/Steganography
相关方法
LSB方面的论文有很多,在此利用以下这篇
Chan C K, Cheng L M. Hiding data in images by simple LSB substitution[J]. Pattern recognition, 2004, 37(3): 469-474.
http://www.sciencedirect.com/science/article/pii/S003132030300284X
其具体的思路如下:
1. 设图像像素为
MC×NC
M
C
×
N
C
,
C
C
表示原8-bit图像
2. 将 M M 重排为:
3. 从原图中按照既定规则挑选出 n′ n ′ 个像素:
4. 提取消息的方法为:
MATLAB相关函数解释
- imread( ) 用于读取需要嵌入隐藏信息的图片,并存储为 uint8 类型的三维RGB矩阵,每个数值都位于0~255间
- strcat( ) 用于字符串连接
- unicode2native( ) 将 unicode 编码转化为相应的数字字节,相对应的 native2unicode( ) 是将数字字节转化为对应的 unicode 编码
- dec2bin( ) 将十进制数转化为二进制,可选参数为最少几位二进制,相应的 bin2dec( ) 是将二进制转化为十进制
- strjoin( ) 将元胞中的字符串数组组合成一个单字符串
- double( ) 将字符转化成相应的 ASCII 码,相应的 char( ) 将 ASCII 码转化成字符
- imwrite( ) 将矩阵存成图片
注意事项
- MATLAB的 imwrite() 函数存成图片时,若选用 .jpg 格式则会出现一定程度的失真,导致无法提取出正确信息,因此最好存为 .png 或其他格式
- 以下给出的代码以EOF作为嵌入结束的标志
- 以下代码适用于2-LSB
- 以下代码有选择地将信息嵌入红、绿、蓝中的一层
源码
优快云的显示效果太差了,可以查看我的GitHub:
https://github.com/kemingy/Cryptography/tree/master/LSB%20steganography
嵌入函数
function [] = LSB_embed(name, message, lsb, color)
% LSBembed(name, message, lsb) LSB in steganography (embed)
% name: the picture's path and name
% message: the data you want to hide in the picture
% lsb: lsb-rightmost LSBs
% color: 1-red, 2-green, 3-blue
%
% Author: Moming
% 2016-03-16
image = imread(name);
msg_origin = unicode2native(strcat(message, char(4)), 'UTF-8'); % UTF-8 encode, 'EOT' is the end tag
msg_bin = dec2bin(msg_origin, 8); % convert to binary
msg = strjoin(cellstr(msg_bin)','');
len = length(msg) / lsb;
while len ~= fix(len)
strcat(msg, char(4));
len = length(msg) / lsb;
end
tmp = blanks(len);
for i = 1 : len
tmp(i) = char(bin2dec(msg((i - 1) * lsb + 1 : i * lsb)) + '0'); % '0' is a kind of placeholder
end
% use Red, Green or Blue
layer = image(:, :, color);
for i = 1 : len
layer(i) = layer(i) - mod(layer(i), 2^lsb) + double(tmp(i) - '0'); % only to be consistent with front
end
% save the picture
image_result = image;
image_result(:, :, color) = layer;
imshow(image_result);
imwrite(image_result, 'result.png'); % jpg would lose some information
end
提取函数
function [msg_origin] = LSB_extract(name, lsb, color)
% LSB_extract(name, lsb) LSB in steganography (extract)
% name: the picture's path and name
% lsb: lsb-rightmost LSBs
% color: 1-red, 2-green, 3-blue
%
% Author: Moming
% 2016-03-17
image = imread(name);
layer = image(:, :, color);
tmp = blanks(0);
n = prod(size(layer));
% if lsb ~= 2, then you need to change something below
for i = 1 : n * lsb / 8
tmp((i - 1) * 4 + 1 : i * 4) = mod(layer((i - 1) * 4 + 1 : i * 4), 2^lsb);
msg((i - 1) * 8 + 1 : i * 8) = dec2bin(tmp((i - 1) * 4 + 1 : i * 4), lsb)';
msg_origin(i) = bin2dec(msg((i - 1) * 8 + 1 : i * 8));
if msg_origin(i) == 4 % EOT is the end tag
break;
end
end
msg_origin = native2unicode(msg_origin,'UTF-8');
msg_origin = msg_origin(1:end-1);
end
改进:嵌入到RGB三层中
由于单个像素点的值表示成二进制为8位,为了方便进行嵌入,补上一位,凑成9位,分别嵌入到RGB三层中,且补上的一位以‘0’、‘1’、‘0’、‘1’的顺序出现,以达到‘0’、‘1’平衡,最后一个字符嵌入时对其补上的一位取反,作为结束标记
嵌入算法
function [] = LSB_embed(name, message)
% LSBembed(name, message, lsb)
% name: the picture's path and name
% message: the data you want to hide in the picture
% LSB in steganography (embed)
%
% Author: Moming
% 2016-03-20
lsb = 3;
image = imread(name);
msg_origin = unicode2native(message, 'UTF-8'); % UTF-8 encode
msg_bin = dec2bin(msg_origin, 8); % convert to binary
msg = blanks(9);
for i = 1 : size(msg_bin, 1)
msg(i, :) = strcat(msg_bin(i, :), char(mod(i, 2) + '0'));
end
msg = strjoin(cellstr(msg)','');
msg(end) = char(mod(size(msg_bin, 1) + 1, 2) + '0'); % change the last bit as the end tag
len = length(msg) / lsb;
tmp = blanks(len);
for i = 1 : len
tmp(i) = char(bin2dec(msg((i - 1) * lsb + 1 : i * lsb)) + '0'); % convert to decimal
end
% use RGB
result = image;
rgb = 1;
[len_R, len_G, len_B] = size(result);
for R = 1 : len_R
for G = 1 : len_G
for B = 1 : len_B
if rgb <= len
% only to be consistent with front: '0'
result(R, G, B) = result(R, G, B) - mod(result(R, G, B), 2^lsb) + double(tmp(rgb) - '0');
rgb = rgb + 1;
end
end
end
end
imshow(result);
imwrite(result, 'result.png'); % jpg would lose some information
end
提取算法
function [msg_origin] = LSB_extract(name)
% LSB_extract(name, lsb)
% name: the picture's path and name
% LSB in steganography (extract)
%
% Author: Moming
% 2016-03-20
image = imread(name);
lsb = 3;
index = 1;
rgb = zeros(0);
[len_R, len_G, len_B] = size(image);
flag = char('0'); % use to detect the end tag
for R = 1 : len_R
for G = 1 : len_G
tmp = blanks(0);
for B = 1 : len_B
tmp = strcat(tmp, mod(image(R, G, B), 2^lsb) + '0'); % '0' is useful!!! Placeholder...
end
tmp_bin = dec2bin(tmp - '0', 3)';
rgb(index) = bin2dec(tmp_bin(1 : 8));
if flag + tmp_bin(9) ~= 97 % '0'/'1' is the end tag
msg_origin = native2unicode(rgb, 'UTF-8');
return;
end
index = index + 1;
flag = tmp_bin(9);
end
end
end

本文介绍了使用LSB(最低有效位)算法在MATLAB中实现信息隐藏的方法,详细讲解了如何将文字信息嵌入到图片的RGB颜色值中,并提供了相关函数的解释及源码。同时,提到了在嵌入和提取过程中的注意事项,如文件格式的选择和结束标志的设定。最后,讨论了如何通过补位和嵌入到RGB三层中以提高信息隐藏的效率。
437





