An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit
Based on compressive sensing and fractional-order simplest memristive chaotic system, this paper proposes an image compression and encryption scheme. First, a fractional-order simplest memristive chaotic circuit system is designed. The dynamic characteristics of the chaotic system are analyzed by th...
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doaj-ef08eef95127439a8396a44cb39c176b2021-03-30T15:09:10ZengIEEEIEEE Access2169-35362021-01-019221412215510.1109/ACCESS.2021.30548429336628An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic CircuitHaiying Hu0Yinghong Cao1https://orcid.org/0000-0001-6154-8107Ji Xu2https://orcid.org/0000-0001-6480-6220Chenguang Ma3Huizhen Yan4School of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaSchool of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaSchool of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaSchool of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaSchool of Information Science and Engineering, Dalian Polytechnic University, Dalian, ChinaBased on compressive sensing and fractional-order simplest memristive chaotic system, this paper proposes an image compression and encryption scheme. First, a fractional-order simplest memristive chaotic circuit system is designed. The dynamic characteristics of the chaotic system are analyzed by the phase diagram, the Lyapunov exponent's spectrum, and the bifurcation diagram to determine the parameters and pseudo-random sequences used in the encryption scheme. Secondly, an encryption scheme based on compressive sensing is designed. This scheme compresses the image twice to fully reduce the storage cost, and scrambles the pixel matrix twice through block scrambling and zigzag transformation, and then uses chaotic pseudo-random sequence and GF (17) domain diffusion image matrix to obtain the final cipher image. Finally, simulation results and performances analysis indicate that the scheme still has good reconstruction performance, even when the compression ratio is 0.25, and the security analysis shows that it can resist various attacks and has high security.https://ieeexplore.ieee.org/document/9336628/Image encryptioncompressive sensing (CS)fractional-order simplest memristive chaotic system |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haiying Hu Yinghong Cao Ji Xu Chenguang Ma Huizhen Yan |
spellingShingle |
Haiying Hu Yinghong Cao Ji Xu Chenguang Ma Huizhen Yan An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit IEEE Access Image encryption compressive sensing (CS) fractional-order simplest memristive chaotic system |
author_facet |
Haiying Hu Yinghong Cao Ji Xu Chenguang Ma Huizhen Yan |
author_sort |
Haiying Hu |
title |
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit |
title_short |
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit |
title_full |
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit |
title_fullStr |
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit |
title_full_unstemmed |
An Image Compression and Encryption Algorithm Based on the Fractional-Order Simplest Chaotic Circuit |
title_sort |
image compression and encryption algorithm based on the fractional-order simplest chaotic circuit |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Based on compressive sensing and fractional-order simplest memristive chaotic system, this paper proposes an image compression and encryption scheme. First, a fractional-order simplest memristive chaotic circuit system is designed. The dynamic characteristics of the chaotic system are analyzed by the phase diagram, the Lyapunov exponent's spectrum, and the bifurcation diagram to determine the parameters and pseudo-random sequences used in the encryption scheme. Secondly, an encryption scheme based on compressive sensing is designed. This scheme compresses the image twice to fully reduce the storage cost, and scrambles the pixel matrix twice through block scrambling and zigzag transformation, and then uses chaotic pseudo-random sequence and GF (17) domain diffusion image matrix to obtain the final cipher image. Finally, simulation results and performances analysis indicate that the scheme still has good reconstruction performance, even when the compression ratio is 0.25, and the security analysis shows that it can resist various attacks and has high security. |
topic |
Image encryption compressive sensing (CS) fractional-order simplest memristive chaotic system |
url |
https://ieeexplore.ieee.org/document/9336628/ |
work_keys_str_mv |
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