Designing a genetic watermarking approach for 3D scenes |
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Affiliation: | 1. School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;2. School of Computer Science and Information Technology, Liaoning Normal University, Dalian Liaoning, China;3. Department of Information and Communications, Pukyong National University, 599-1, Daeyeon 3-Dong, Nam-Gu, Busan, Republic of Korea;1. Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA;2. Department of Mechanical Engineering, Northern Illinois University, DeKalb, IL 60115, USA;3. Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Bari 70126, Italy;1. Department of IT Convergence and Application Engineering, Pukyong National University, Republic of Korea;2. Department of Information Security, Tongmyong University, Republic of Korea;3. Department of Electronics Engineering, KyuingIl University, Republic of Korea;1. School of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China;2. Vision Lab. ISEN Brest, L@bISEN, 20 rue Cuirassé Bretagne, CS 42807, 29228 Brest Cedex 2, France;3. Université de Brest, Lab-STICC, 6 avenue Le Gorgeu, CS 93837, 29238 Brest Cedex 3, France |
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Abstract: | A new watermarking algorithm based on genetic algorithm (GA) in the transform domain is proposed. Unlike the existing computer-generated integral imaging based watermarking methods, the proposed method utilizes GA searching to the optimized transform domain to serve as a trade-off for watermark embedding. In this paper, 3D scene to be captured by using a virtual pinhole array and be computationally recorded as an elemental image array (EIA), watermarking with GA optimization and computer-generated holography is implemented. In the proposed GA optimization process, we utilize the fitness function to improve the visual quality of watermarked images and the robustness. Simulation results show that the proposed algorithm yields a holographic watermark that is imperceptibility to human eyes and robust to standard watermarking attacks. A comparison of the proposed watermarking method to the existing similar watermarking methods demonstrated that the proposed method generally outperforms completing methods in terms of imperceptibility and robustness. |
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Keywords: | Watermarking algorithm Genetic algorithm Integral imaging |
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