4.6 Article

Image Compression and Encryption Scheme Based on Compressive Sensing and Fourier Transform

期刊

IEEE ACCESS
卷 8, 期 -, 页码 40838-40849

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2976798

关键词

Encryption; Image coding; Fourier transforms; Image reconstruction; Sparse matrices; Robustness; Image compression and image encryption; compressive sensing; fractional Fourier transform; chaotic map

资金

  1. Shandong Provincial Natural Science Foundation [ZR2019MF054]
  2. Foundation of Science and Technology on Information Assurance Laboratory [KJ-17-004]
  3. Weihai University Construction Project
  4. Foundation of China Academy of Space Technology [WT-TXYY/WLZDFHJY003]
  5. National Natural Science Foundation of China [61902091]
  6. Fundamental Research Funds for Central Universities [HIT.NSRIF.2020099]
  7. Engineering Technology and Research Center of Weihai Information Security

向作者/读者索取更多资源

An image compression and encryption scheme based on compressive sensing (CS) and Fourier transform is proposed to achieve image encryption and compression with reconstruction robustness and high security. Making use of the property of CS, encryption and compression are combined. In order to avoid the security limitations of revealing the energy information of the plaintext from ciphertext and reusing of measurement matrix to improve security, chaos system and two-dimensional fractional Fourier transform (2D-FRT) are used to perform encryption. Moreover, double random phase encryption based on 2D-FRT can avoid the loss of reconstruction robustness in diffusion encryption. The test results indicate that the proposed method has high security, good compression performance and reconstruction robustness.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据