The Image Encryption Method Based on Chaotic Systems and Ghost Imaging with Deep Learning Decryption

The paper introduces a deep decryption method based on chaotic ghost imaging, termed Chaotic Ghost Imaging with Deep Decryption (CGI-DD). Utilizing chaotic sequences generated by the Hénon system as encryption keys, combined with ghost imaging technology, the intensity information of an object is acquired using a single-pixel detector to complete image encryption. To improve the quality of decrypted images, this paper introduces a deep learning model based on deep image prior technology. This model can effectively remove noise and restore high-quality decrypted images even at low sampling rates. Experimental results show that the CGI-DD method outperforms traditional ghost imaging methods in decryption effectiveness across various sampling rates, particularly demonstrating accurate reconstruction of target images even under conditions of low sampling rates.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862299
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
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The Image Encryption Method Based on Chaotic Systems and Ghost Imaging with Deep Learning Decryption

Yu Wang, Xiaoqian Wang, Chao Gao, Zhihai Yao
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Chaos-based Image/Signal Encryption
article

The Image Encryption Method Based on Chaotic Systems and Ghost Imaging with Deep Learning Decryption

Yu Wang, Xiaoqian Wang, Chao Gao, Zhihai Yao
article en

Abstract

The paper introduces a deep decryption method based on chaotic ghost imaging, termed Chaotic Ghost Imaging with Deep Decryption (CGI-DD). Utilizing chaotic sequences generated by the Hénon system as encryption keys, combined with ghost imaging technology, the intensity information of an object is acquired using a single-pixel detector to complete image encryption. To improve the quality of decrypted images, this paper introduces a deep learning model based on deep image prior technology. This model can effectively remove noise and restore high-quality decrypted images even at low sampling rates. Experimental results show that the CGI-DD method outperforms traditional ghost imaging methods in decryption effectiveness across various sampling rates, particularly demonstrating accurate reconstruction of target images even under conditions of low sampling rates.

Changchun University of Science and Technology (CN)
Openalex Percentile: Top 73%
Chaos-based Image/Signal Encryption
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