Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map

To overcome the drawbacks of the existing sinusoidal map and tent map, this paper proposes the design of a sinusoidal–tent (ST) map. The test results indicate that the new chaotic system exhibits more significant advantages in chaos control. Compared with the sinusoidal map and tent map, the propose...

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Main Authors: Ping-Ping Zeng, Xi Zhou, De-Fei Zhong, Su-Hua Chen, Li-Hua Gong
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1315765/full
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author Ping-Ping Zeng
Xi Zhou
De-Fei Zhong
Su-Hua Chen
Li-Hua Gong
author_facet Ping-Ping Zeng
Xi Zhou
De-Fei Zhong
Su-Hua Chen
Li-Hua Gong
author_sort Ping-Ping Zeng
collection DOAJ
description To overcome the drawbacks of the existing sinusoidal map and tent map, this paper proposes the design of a sinusoidal–tent (ST) map. The test results indicate that the new chaotic system exhibits more significant advantages in chaos control. Compared with the sinusoidal map and tent map, the proposed sinusoidal–tent map performs better in terms of bifurcation diagram and Lyapunov exponents. The trajectories of the sinusoidal–tent map can occupy all the phase planes over (0,4), while those of the two classic maps only occupy a small phase space, and the Lyapunov exponents of the ST map are all positive within the range of control parameters, higher than those of seed maps. Simultaneously, a novel quantum scrambling operation is devised based on the sinusoidal–tent map to avoid the periodicity of the quantum Arnold scrambling method. Initially, two chaotic sequences are generated to scramble the pixel positions of the watermark image, further enhancing the security of the watermarking algorithm. Subsequently, the host image is processed by the quantum discrete cosine transform, and finally, the scrambled watermark image is inserted into the medium-frequency band of the transformed host image, ensuring the invisibility of the watermarking. According to the simulation results, the quantum watermarking algorithm has excellent invisibility and robustness.
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spelling doaj.art-6b0b980437294ddd9cf53d58d4a592872024-02-02T10:31:25ZengFrontiers Media S.A.Frontiers in Physics2296-424X2024-02-011110.3389/fphy.2023.13157651315765Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent mapPing-Ping Zeng0Xi Zhou1De-Fei Zhong2Su-Hua Chen3Li-Hua Gong4College of Science and Technology, Nanchang University, Jiujiang, ChinaDepartment of Electronic Information Engineering, Nanchang University, Nanchang, ChinaDepartment of Electronic Information Engineering, Nanchang University, Nanchang, ChinaDepartment of Electronic Information Engineering, Nanchang University, Nanchang, ChinaSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, ChinaTo overcome the drawbacks of the existing sinusoidal map and tent map, this paper proposes the design of a sinusoidal–tent (ST) map. The test results indicate that the new chaotic system exhibits more significant advantages in chaos control. Compared with the sinusoidal map and tent map, the proposed sinusoidal–tent map performs better in terms of bifurcation diagram and Lyapunov exponents. The trajectories of the sinusoidal–tent map can occupy all the phase planes over (0,4), while those of the two classic maps only occupy a small phase space, and the Lyapunov exponents of the ST map are all positive within the range of control parameters, higher than those of seed maps. Simultaneously, a novel quantum scrambling operation is devised based on the sinusoidal–tent map to avoid the periodicity of the quantum Arnold scrambling method. Initially, two chaotic sequences are generated to scramble the pixel positions of the watermark image, further enhancing the security of the watermarking algorithm. Subsequently, the host image is processed by the quantum discrete cosine transform, and finally, the scrambled watermark image is inserted into the medium-frequency band of the transformed host image, ensuring the invisibility of the watermarking. According to the simulation results, the quantum watermarking algorithm has excellent invisibility and robustness.https://www.frontiersin.org/articles/10.3389/fphy.2023.1315765/fullquantum watermarkingquantum discrete cosine transformsinusoidal–tent mapquantum color image representationimage copyright
spellingShingle Ping-Ping Zeng
Xi Zhou
De-Fei Zhong
Su-Hua Chen
Li-Hua Gong
Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
Frontiers in Physics
quantum watermarking
quantum discrete cosine transform
sinusoidal–tent map
quantum color image representation
image copyright
title Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
title_full Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
title_fullStr Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
title_full_unstemmed Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
title_short Color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal–tent map
title_sort color watermarking algorithm combining the quantum discrete cosine transform with the sinusoidal tent map
topic quantum watermarking
quantum discrete cosine transform
sinusoidal–tent map
quantum color image representation
image copyright
url https://www.frontiersin.org/articles/10.3389/fphy.2023.1315765/full
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AT defeizhong colorwatermarkingalgorithmcombiningthequantumdiscretecosinetransformwiththesinusoidaltentmap
AT suhuachen colorwatermarkingalgorithmcombiningthequantumdiscretecosinetransformwiththesinusoidaltentmap
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