Acta Optica Sinica, Volume. 40, Issue 5, 0510003(2020)
Optical Multiple-Image Authentication Method Based on Hyper-Chaos and Phase Information Multiplexing in Gyrator Transform Domain
This study proposes an optical multiimage authentication method for attenuating crosstalk noise in multiplexed images and addressing information security problems at different authentication levels based on hyper-chaotic amplitude masks and phase information multiplexing in the Gyrator transform domain. According to the proposed method, hyper-chaotic random amplitude masks are constructed first using a fractional hyper-chaotic Rabinovich system. Then, original images are encoded using a modified Gerchberg-Saxton algorithm for low- and high-level authentication. The hyper-chaotic masks are used as the amplitude constraint to iteratively obtain target images. The obtained N target images are then encoded into a composite image. Finally, the composite image is converted into two phase-only masks for transmission using the modified Gerchberg-Saxton algorithm. Results demonstrate that users can have their own authentication keys in the process of authentication at different security levels. In low-level authentication, the correctness of the authentication image can be determined by retrieving the nonlinear correlation peak between the authentication and original images. In high-level authentication, the authentication image can be obtained to be highly similar to the original image with the peak signal-to-noise ratio and correlation coefficient reaching 25.2817 dB and 0.9844, respectively. The proposed method is robust against occlusion and noise attacks and provides a new idea for optical authentication of multiple images at different levels.
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Yujia Liu, Ning Zhang, Fuqi Zhang, Xiping Xu, Zhaoguo Jiang. Optical Multiple-Image Authentication Method Based on Hyper-Chaos and Phase Information Multiplexing in Gyrator Transform Domain[J]. Acta Optica Sinica, 2020, 40(5): 0510003
Category: Image Processing
Received: Sep. 25, 2019
Accepted: Oct. 30, 2019
Published Online: Mar. 10, 2020
The Author Email: Zhang Ning (custzn@126.com), Xu Xiping (xxp@cust.edu.cn), Jiang Zhaoguo (jiang.geele@gmail.com)