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  • 谭利娜,陈鹏,蒋伟进,李毅,杨济帆,谢湘豫.基于Rossler混沌系统与整数小波变换的高安全性无损图像隐写术[J].信息安全学报,已采用    [点击复制]
  • tanlina,chenpeng,jiangweijin,liyi,yangjifan,xiexiangyu.High-security lossless image steganography based on Rossler chaotic system and integer wavelet transform[J].Journal of Cyber Security,Accept   [点击复制]
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基于Rossler混沌系统与整数小波变换的高安全性无损图像隐写术
谭利娜, 陈鹏, 蒋伟进, 李毅, 杨济帆, 谢湘豫
0
(湖南工商大学)
摘要:
在图像隐写领域,现有高容量以图藏图方法因过度追求隐写图像视觉品质与嵌入容量的提升,而在秘密图像无损恢复及信息安全性方面略显不足。针对这一问题,本文提出了一种融合Rossler混沌系统与整数小波变换(IWT)的安全无损图像隐写方法。该方法协同设计秘密图像的混沌加密与密文的IWT隐写过程。在加密阶段,构建基于“块积分+密钥”的动态密钥生成体系与多层次融合的加密架构,显著提升算法的加密深度与安全性。为进一步增强密文图像的置乱效果,提出改进的变步长约瑟夫遍历算法,使遍历过程更加复杂且难以预测,从而有效抵御攻击者对密文的破解。在隐写阶段,通过对部分位平面实施IWT嵌入秘密图像,并设计像素值溢出处理机制以确保密文图像的无损提取。实验结果表明,该方法在密文图像相关性系数方面较现有算法提升了约33%,同时表现出较强的抗统计分析能力;在实现2bpp的高隐藏容量和秘密图像100%无损提取的前提下,隐写图像仍保持了良好的视觉质量。理论与实验分析均验证了本算法在秘密图像无损恢复与系统安全性方面的有效性。
关键词:  无损隐写  Rossler混沌系统  图像加密  整数小波  约瑟夫遍历
DOI:
投稿时间:2025-06-26修订日期:2026-01-16
基金项目:湖南省社会科学基金项目、湖南省教育厅科学研究重点项目
High-security lossless image steganography based on Rossler chaotic system and integer wavelet transform
tanlina, chenpeng, jiangweijin, liyi, yangjifan, xiexiangyu
(Hunan University Of Technology and Business)
Abstract:
In the field of image steganography, existing high-capacity image-in-image methods often place too much emphasis on improving the visual quality of the stego image and embedding capacity. While these methods achieve significant gains in these areas, they tend to fall short in terms of lossless recovery of the secret image and the overall security of the embedded data. To address this issue, this paper proposes a secure and lossless image steganography method that integrates the R?ssler chaotic system with the Integer Wavelet Transform (IWT). This method combines the chaotic encryption of the secret image with the IWT-based process of embedding the ciphertext. During the encryption phase, a dynamic key generation system, based on " block integration + key," is developed, along with a multi-layer fusion encryption framework. This significantly increases the depth of encryption and enhances the overall security of the algorithm. To further improve the scrambling effect of the ciphertext image, an enhanced variable-step Joseph traversal algorithm is proposed. This method makes the traversal process more complex and unpredictable, effectively preventing attackers from deciphering the encrypted data. In the ste-ganography phase, part of the bit plane is used to embed the secret image using IWT, preserving the integrity of the eigen-value and improving the visual quality of the stego image. Additionally, a pixel value overflow processing mechanism is incorporated to ensure the lossless extraction of the ciphertext image. Experimental results show that this method improves the correlation coefficient of the ciphertext image by approximately 33% compared to existing algorithms, demonstrating strong resistance to statistical analysis. Despite achieving a high hidden capacity of 2 bpp and ensuring 100% lossless re-covery of the secret image, the stego image maintains excellent visual quality. Both theoretical and experimental analyses validate the effectiveness of this approach in ensuring the lossless recovery of the secret image and enhancing system secu-rity.
Key words:  lossless steganography  Rossler chaotic system  Image encryption  Integer wavelet  Joseph ergodic