量子电子学报 ›› 2026, Vol. 43 ›› Issue (1): 59-74.doi: 10.3969/j.issn.1007-5461.2026.01.005

• 图像与信息处理 • 上一篇    下一篇

一种基于 LSB 和龟壳的量子图像隐写方案

孙静宇 *, 王雯慧   

  1. 太原理工大学软件学院, 山西 晋中 030600
  • 收稿日期:2024-04-28 修回日期:2024-09-12 出版日期:2026-01-28 发布日期:2026-01-28
  • 通讯作者: E-mail: sunjingyu@tyut.edu.cn E-mail:E-mail: sunjingyu@tyut.edu.cn
  • 作者简介:孙静宇 ( 1975 - ), 山西吕梁人, 博士, 副教授, 硕士生导师, 主要从事量子计算、推荐系统等方面的研究。E-mail: sunjingyu@tyut.edu.cn
  • 基金资助:
    山西省基础研究计划 (202303021221014), 山西小孙科技有限公司“去中心化交易系统关键技术研究”项目

A quantum image steganography scheme based onLSB and turtle shell

SUN Jingyu *, WANG Wenhui   

  1. School of Software, Taiyuan University of Technology, Jinzhong 030600, China
  • Received:2024-04-28 Revised:2024-09-12 Published:2026-01-28 Online:2026-01-28

摘要: 针对现有图像隐写术存在的载体图像质量下降、容量冗余等问题, 本文提出了一种基于最低有效位(LSB)和龟壳的量子图像隐写方案。该方案将量子载体图像划分为连续的不重叠块, 根据块中的最大像素差值, 将块属性分为边缘或平滑, 并相应地选择LSB或龟壳替换算法来隐藏秘密信息。具体而言, 该方案对LSB算法作出了改进, 修改载体图像的两个最低有效位, 可以实现3位秘密信息嵌入; 同时去除传统龟壳算法中的距离比较步骤, 减少了关联点的数量; 在此基础上, 通过交换量子图像中相邻的量子位对秘密图像进行预处理, 并设计了相应的量子电路。仿真实验结果表明, 该方案在不可见性、嵌入能力和鲁棒性方面都具有优越的性能。

关键词: 图像处理, 量子图像隐写, 最低有效位, 龟壳隐写算法

Abstract: Aiming at the problems of carrier image quality degradation and capacity redundancy in existing image steganography, a quantum image steganography scheme based on least significant bit (LSB) and turtle shell is proposed. The scheme divides the quantum carrier image into contiguous non-overlapping blocks, then the block properties are classified into edge or smooth according to the maximum pixel difference in each block, and the LSB or turtle shell substitution algorithm is selected accordingly to hide the secret information. Specifically, the LSB algorithm is improved in this scheme by modifying the two least significant bits of the carrier image to achieve the secret information embedding of three bits. At the same time, the distance comparison in traditional turtle shell algorithm is removed, so that the number of correlation points is reduced. On this basis, the adjacent quantum bits in the quantum image are exchanged to preprocess the secret image, and corresponding quantum circuits are constructed. The simulation experiment results show that the proposed scheme has superior performance in imperceptibility, embedding capacity and robustness.

Key words: image processing, quantum image steganography, least significant bit, turtle shell steganography algorithm

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