基于二维压缩感知的有意义图像加密算法研究

任花; 牛少彰; 任如勇; 岳桢

doi:10.11959/j.issn.1000-436x.2022101

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基于二维压缩感知的有意义图像加密算法研究

学术论文 | 更新时间：2024-06-05

- 基于二维压缩感知的有意义图像加密算法研究
- Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing
- 通信学报 2022年43卷第5期页码：45-57
- 作者机构：
  
  1. 北京邮电大学计算机学院，北京 100876
  2. 河南师范大学现代教育技术中心，河南新乡 453007
- 作者简介：
  
  [ "任花（1992- ），女，河南信阳人，北京邮电大学博士生，主要研究方向为信息隐藏、图像加密和图像认证等" ]
  [ "牛少彰（1965- ），男，北京人，博士，北京邮电大学教授、博士生导师，主要研究方向为信息隐藏、图像取证等" ]
  [ "任如勇（1993- ），男，山东聊城人，北京邮电大学博士生，主要研究方向为数字取证、计算机视觉等" ]
  [ "岳桢（1988- ），男，河南新乡人，博士，河南师范大学实验师，主要研究方向为信息隐藏、多媒体教学等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61370195);国家自然科学基金资助项目(U1536121)
- DOI：10.11959/j.issn.1000-436x.2022101
  中图分类号： TP309.7
- 网络出版日期：2022-05，
  
  纸质出版日期：2022-05-25
- 稿件说明：
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任花, 牛少彰, 任如勇, 等. 基于二维压缩感知的有意义图像加密算法研究[J]. 通信学报, 2022,43(5):45-57.

Hua REN, Shaozhang NIU, Ruyong REN, et al. Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing[J]. Journal on communications, 2022, 43(5): 45-57.
任花, 牛少彰, 任如勇, 等. 基于二维压缩感知的有意义图像加密算法研究[J]. 通信学报, 2022,43(5):45-57. DOI： 10.11959/j.issn.1000-436x.2022101.

Hua REN, Shaozhang NIU, Ruyong REN, et al. Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing[J]. Journal on communications, 2022, 43(5): 45-57. DOI： 10.11959/j.issn.1000-436x.2022101.

摘要

针对基于压缩感知的有意义图像加密算法存在加密图像视觉安全性不高及重构图像质量不佳的问题，提出了一种基于二维压缩感知的有意义图像加密算法。首先，设计了一种与明文相关联的混沌伪随机序列生成方法

利用全局随机置乱和灰度变换操作进行预加密，改进了重构图像质量。生成的预加密图像作为二维压缩感知的输入，在压缩加密和量化操作后，生成秘密图像。其次，考虑了待嵌入数据和待修改数据之间的关系，利用自适应嵌入方法修改载体系数值，提高了有意义加密图像的视觉安全性。最后，采用二维投影梯度重构方法联合执行解压缩和解密操作，获取重构图像。实验结果表明，与现有算法相比，所提算法不仅提高了加密图像视觉安全性和重构图像质量，而且能抵抗噪声和裁剪攻击。

Abstract

Aiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images

a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed.Firstly

a chaotic pseudo-random sequence generation method associated with plaintext was designed

and the global random permutation and grayscale transformation operations were used for pre-encryption to improve the decrypted image quality.The generated pre-encrypted image was used as the input for 2DCS

and the secret image was generated after the compression encryption and quantization operations.Secondly

the relationship between the hidden and the modified data was considered

and an adaptive embedding method was adopted to modify the carrier coefficient values to improve the visual security of meaningful encrypted image.Finally

the 2-dimensional projection gradient reconstruction method was adopted to decompress and decrypt to obtain the decrypted image.The experimental results show that

compared with the existing algorithms

the proposed algorithm not only improves the visual security of encrypted image and the quality of reconstructed image

but also can resist noise and cropping attacks.

关键词

Keywords

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