Abstract

Under the computational integral imaging-based security system, the application of Deoxyribonucleic Acid (DNA) encoding algorithm will cause silhouettes in the cipher image, thereby reducing the security of the system. To solve this problem, we introduced a cellular automata-based DNA (CA-DNA) algorithm, which effectively hides the distribution information of the original scene. It can prevent attackers from obtaining any valid information based on the statistical characteristics of the image, which makes our encryption system more security. At the same time, an improved high-resolution reconstruction algorithm is applied to achieve a high-quality decrypted scene. We conducted relevant experiments to certificate the effectiveness of proposed method. Experimental results verify that the scheme has high security and robustness.

Highlights

  • In the Internet era, massive multi-dimensional image data are transmitted on the network every moment

  • We introduced a cellular automata-based Deoxyribonucleic Acid (DNA) (CA-DNA) algorithm, which effectively hides the distribution information of the original scene

  • In this paper we propose a high security optical encryption approach based on computational integral imaging and CA-based DNA (CA-DNA) encryption algorithm

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Summary

Introduction

In the Internet era, massive multi-dimensional image data are transmitted on the network every moment. As an excellent optical imaging system, computational integral imaging (CII) can display full-color images with a wide field of view and continuous parallax [12]–[18] Because this algorithm can record scenes into a hologram-like characteristic element image array (EIA) [18]–[22], it has attracted attention in the field of optical data security. For some special images, such as element images, fixed DNA coding rules cannot change the bit distribution of these images It leads to contour problems in the cipher-text. In this paper we propose a high security optical encryption approach based on computational integral imaging and CA-based DNA (CA-DNA) encryption algorithm. The attacker cannot obtain any valid information based on the statistical distribution of the images, which makes the encryption system more secure. To prove the feasibility and security of the encoding approach, numerical experiments are conducted, and the results are discussed

EIA Captured by the Integral Imaging System
DNA Sequence Operations
High-Quality Pseudo-Random Sequence Generated by CA Algorithm
Modified Computational Integral Imaging Reconstruction Algorithm
Description of the Encryption and Decryption Procedure
Experimental Results
Key Security Analysis
Statistical Analysis
Robustness Analysis
Conclusion
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