现代电子技术2016，Vol.39Issue(11)：50-54,5.DOI:10.16652/j.issn.1004-373x.2016.11.013
基于遗传算法和高隐藏容量的数字图像隐写算法
Digital image steganography algorithm based on genetic algorithm and high hidden capacity
摘要
Abstract
In order to obtain bigger steganography capacity and higher steganography security level,a digital image safety steganography algorithm based on genetic algorithm and high hidden capacity is proposed. The steganography is modeled as a search problem. The genetic algorithm is used to find out the optimal direction and starting point in the host image to hide the enciphered data,and make the steganography image obtain the maximal peak signal⁃to⁃noise ratio(PSNR),whose fitting func⁃tion is PSNR. Firstly,the host image,confidential image and chromosome should be prepared,after that the bit plane and bit direction genes are used to convert the host pixel sequence into bit sequence. And then,the confidential pixel bits are embed⁃ded into the corresponding pixel bits. Finally,the fitting function is used to determine the iteration times. The PSNR and struc⁃tural similarity index measure (SSIM) are used to assess the steganography result. Compared with other steganography algo⁃rithms,the proposed algorithm can significantly improve the steganography quality and safety. Its PSNR and SSIM are higher than those of other algorithms. In addition,its hidden capacity is big enough,which can reach up to 49.5%.关键词
隐写术/遗传算法/峰值信噪比/隐藏容量/拟合函数/数字图像Key words
steganography/genetic algorithm/peak signal-to-noise ratio/hidden capacity/fitting function/digital image分类
信息技术与安全科学引用本文复制引用
谭志伟,孙新领,杨观赐..基于遗传算法和高隐藏容量的数字图像隐写算法[J].现代电子技术,2016,39(11):50-54,5.基金项目
河南省教育厅科学技术研究重点项目（13A520221，14A520045）；河南省高等学校重点科研项目（15A520063）；贵州省重大基础研究项目 （）
