【图像隐写】基于matlab WOW算法图像自适应隐写【含Matlab源码 368期】
【摘要】
一、获取代码方式
获取代码方式1: 通过订阅紫极神光博客付费专栏,凭支付凭证,私信博主,可获得此代码。
获取代码方式2: 完整代码已上传我的资源:【图像隐写】基于matlab WOW算法图像自适应隐写...
一、获取代码方式
获取代码方式1:
通过订阅紫极神光博客付费专栏,凭支付凭证,私信博主,可获得此代码。
获取代码方式2:
完整代码已上传我的资源:【图像隐写】基于matlab WOW算法图像自适应隐写【含Matlab源码 368期】
备注:
订阅紫极神光博客付费专栏,可免费获得1份代码(有效期为订阅日起,三天内有效);
二、部分源代码
% EXAMPLE - USING "WOW" embedding distortion
%
% -------------------------------------------------------------------------
%
% -------------------------------------------------------------------------
% Permission to use, copy, modify, and distribute this software for
% educational, research and non-profit purposes, without fee, and without a
% written agreement is hereby granted, provided that this copyright notice
% appears in all copies. The program is supplied "as is," without any
% accompanying services from DDE Lab. DDE Lab does not warrant the
% operation of the program will be uninterrupted or error-free. The
% end-user understands that the program was developed for research purposes
% and is advised not to rely exclusively on the program for any reason. In
% no event shall Binghamton University or DDE Lab be liable to any party
% for direct, indirect, special, incidental, or consequential damages,
% including lost profits, arising out of the use of this software. DDE Lab
% disclaims any warranties, and has no obligations to provide maintenance,
% support, updates, enhancements or modifications.
% -------------------------------------------------------------------------
%
% -------------------------------------------------------------------------
clc; clear all;
% load cover image
cover = imread(fullfile('..', 'images_cover', '1.pgm'));
% set payload
payload = 0.4;
% set params
params.p = -1; % holder norm parameter
fprintf('Embedding using matlab code');
MEXstart = tic;
function [stego, distortion] = WOW(cover, payload, params)
% -------------------------------------------------------------------------
% Copyright (c) 2012 DDE Lab, Binghamton University, NY.
% All Rights Reserved.
% -------------------------------------------------------------------------
% Permission to use, copy, modify, and distribute this software for
% educational, research and non-profit purposes, without fee, and without a
% written agreement is hereby granted, provided that this copyright notice
% appears in all copies. The program is supplied "as is," without any
% accompanying services from DDE Lab. DDE Lab does not warrant the
% operation of the program will be uninterrupted or error-free. The
% end-user understands that the program was developed for research purposes
% and is advised not to rely exclusively on the program for any reason. In
% no event shall Binghamton University or DDE Lab be liable to any party
% for direct, indirect, special, incidental, or consequential damages,
% including lost profits, arising out of the use of this software. DDE Lab
% disclaims any warranties, and has no obligations to provide maintenance,
% support, updates, enhancements or modifications.
% -------------------------------------------------------------------------
% Contact: vojtech_holub@yahoo.com | fridrich@binghamton.edu | October 2012
% http://dde.binghamton.edu/download/steganography
% -------------------------------------------------------------------------
% This function simulates embedding using WOW steganographic
% algorithm. For more deatils about the individual submodels, please see
% the publication [1].
% -------------------------------------------------------------------------
% Input: coverPath ... path to the image
% payload ..... payload in bits per pixel
% Output: stego ....... resulting image with embedded payload
% -------------------------------------------------------------------------
% [1] Designing Steganographic Distortion Using Directional Filters,
% V. Holub and J. Fridrich, to be presented at WIFS'12 IEEE International
% Workshop on Information Forensics and Security
% -------------------------------------------------------------------------
%% Get 2D wavelet filters - Daubechies 8
% 1D high pass decomposition filter
hpdf = [-0.0544158422, 0.3128715909, -0.6756307363, 0.5853546837, 0.0158291053, -0.2840155430, -0.0004724846, 0.1287474266, 0.0173693010, -0.0440882539, ...
-0.0139810279, 0.0087460940, 0.0048703530, -0.0003917404, -0.0006754494, -0.0001174768];
% 1D low pass decomposition filter
lpdf = (-1).^(0:numel(hpdf)-1).*fliplr(hpdf);
% construction of 2D wavelet filters
F{1} = lpdf'*hpdf;
F{2} = hpdf'*lpdf;
F{3} = hpdf'*hpdf;
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三、运行结果
四、matlab版本及参考文献
1 matlab版本
2014a
2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社,2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社,2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社,2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社,2015.
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