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Optical voice hiding based on chaotic fingerprint phase mask and phase-shifting digital holography

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Abstract

Most of the current optical information hiding methods are designed for protecting grayscale or color images. However, as an important information communication medium, the security of voice has also received a lot of attention in several application areas. In this paper, we propose an optical voice hiding scheme based on chaotic fingerprint phase masks (CFPMs) and three-step phase-shifting digital holography (PSDH). In this proposed scheme, the CFPMs are generated from the fingerprint using the secure hash algorithm (SHA-256) and chaotic Henon map. And to hide the voice into a host image, the voice signal is first converted into a two-dimensional (2D) matrix form (i.e., the "voice map"). Then, the "voice map" is encoded into three noise-like holograms using two CFPMs located in Fresnel transform (FrT) domain and three-step PSDH. Finally, the three noise-like holograms are hidden into a color host image using a fusion method based on discrete wavelet transform (DWT), thus achieving the hiding of the voice signal. The security of this optical voice hiding scheme can be greatly improved because the fingerprint key shared by the sender and authorized receiver is closely linked to the user and does not need to be transmitted over the open network. In addition, the parameters of chaotic Henon map and Fresnel diffraction distances can also provide additional security to the proposed scheme. We have verified the feasibility, security and robustness of the proposed scheme through extensive experiments.

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References

  • Abuturab, M.R., Alfalou, A.: Multiple color image fusion, compression, and encryption using compressive sensing, chaotic-biometric keys, and optical fractional Fourier transform. Opt. Laser Technol. 151, 108071 (2022)

    Article  Google Scholar 

  • Ahmadi, K., Carnicer, A.: Optical visual encryption using focused beams and convolutional neural networks. Opt. Lasers Eng. 161, 107321 (2023)

    Article  Google Scholar 

  • Anusree, L., Rahiman, M.A.: A new highly secure optical image security technique using gyrator transform for image security-related applications. Int. J. Opt. (2022). https://doi.org/10.1155/2022/6165901

    Article  Google Scholar 

  • Bai, X., Zhang, L.Z., Li, J., et al.: High performance optical image hiding based on computational ghost imaging with BCH error correction coding technique. Opt. Lasers Eng. 152, 108109 (2022)

    Article  Google Scholar 

  • Dou, S., Shen, X., Zhou, B., et al.: Experimental research on optical image encryption system based on joint Fresnel transform correlator. Opt. Laser Technol. 112, 56–64 (2019)

    Article  ADS  Google Scholar 

  • Faragallah, O.S., Afifi, A., Elashry, I.F., et al.: Efficient optical double image cryptosystem using chaotic mapping-based Fresnel transform. Opt. Quant. Electron. 53, 305 (2021)

    Article  Google Scholar 

  • Gao, Y., Jiao, S., Fang, J., et al.: Multiple-image encryption and hiding with an optical diffractive neural network. Opt. Commun. 463, 125476 (2020)

    Article  CAS  Google Scholar 

  • Jin, M., Wang, W., Wang, X.: Optical color image cryptosystem based on interference principle and deep learning. Optik 251, 168474 (2022)

    Article  ADS  Google Scholar 

  • Li, X., Zhao, M., Xing, Y., et al.: Designing optical 3D images encryption and reconstruction using monospectral synthetic aperture integral imaging. Opt. Express 26(9), 11084–11099 (2018)

    Article  PubMed  ADS  Google Scholar 

  • Li, H., Bai, X., Shan, M., et al.: Optical encryption of hyperspectral images using improved binary tree structure and phase-truncated discrete multiple-parameter fractional Fourier transform. J. Opt. 22(5), 055701 (2020)

    Article  CAS  ADS  Google Scholar 

  • Lin, S., Wang, X., Zhu, A., et al.: Steganographic optical image encryption based on single-pixel imaging and an untrained neural network. Opt. Express 30(20), 36144–36154 (2022)

    Article  PubMed  ADS  Google Scholar 

  • Nishchal, N.K.: Optical cryptosystems. IOP Publishing (2019)

    Book  Google Scholar 

  • Qasim, I.M., Mohammed, E.A.: Optical image encryption based on linear canonical transform with sparse representation. Opt. Commun. 533, 129262 (2023)

    Article  CAS  Google Scholar 

  • Rajput, S.K., Matoba, O.: Security-enhanced optical voice encryption in various domains and comparative analysis. Appl. Opt. 58(11), 3013–3022 (2019)

    Article  PubMed  ADS  Google Scholar 

  • Rajput, S.K., Matoba, O.: Optical multimodal biometric encryption that uses digital holography. J. Opt. 22(11), 115703 (2020)

    Article  ADS  Google Scholar 

  • Rajput, S.K., Matoba, O., Awatsuji, Y.: Characteristics of vibration frequency measurement based on sound field imaging by digital holography. OSA Continuum. 1(1), 200–212 (2018)

    Article  Google Scholar 

  • Rajput, S.K., Matoba, O., Awatsuji, Y.: Holographic multi-parameter imaging of dynamic phenomena with visual and audio features. Opt. Lett. 44(4), 995–998 (2019)

    Article  PubMed  ADS  Google Scholar 

  • Réfrégier, P., Javidi, B.: Optical image encryption based on input plane and Fourier plane random encoding. Opt. Lett. 20, 767–769 (1995)

    Article  PubMed  ADS  Google Scholar 

  • Salama, G.M., Omar, B., El-Shafai, W., et al.: Secure biometric systems based on bio-signals and DNA encryption of optical spectrograms. Opt. Express 31(3), 3927–3944 (2023)

    Article  CAS  PubMed  ADS  Google Scholar 

  • Shen, Y., Tang, C., Xu, M., et al.: Optical selective encryption based on the FRFCM algorithm and face biometric for the medical image. Opt. Laser Technol. 138, 106911 (2021)

    Article  Google Scholar 

  • Singh, H.: Hybrid structured phase mask in frequency plane for optical double image encryption in gyrator transform domain. J. Mod. Opt. 65(18), 2065–2078 (2018)

    Article  MathSciNet  ADS  Google Scholar 

  • Su, Y., Tang, C., Chen, X., et al.: Cascaded Fresnel holographic image encryption scheme based on a constrained optimization algorithm and Henon map. Opt. Lasers Eng. 88, 20–27 (2017)

    Article  Google Scholar 

  • Su, Y., Tang, C., Li, B., et al.: Optical color image watermarking based on phase-truncated linear canonical transform and image decomposition. J. Opt. 20(5), 055702 (2018)

    Article  ADS  Google Scholar 

  • Su, Y., Xu, W., Zhao, J.: Optical image encryption based on chaotic fingerprint phase mask and pattern-illuminated Fourier ptychography. Opt. Lasers Eng. 128, 106042 (2020a)

    Article  Google Scholar 

  • Su, Y., Xu, W., Zhao, J., et al.: Optical color image encryption based on chaotic fingerprint phase mask in various domains and comparative analysis. Appl. Opt. 59(2), 474–483 (2020b)

    Article  PubMed  ADS  Google Scholar 

  • Su, Y., Xu, W., Li, T., et al.: Optical color image encryption based on fingerprint key and phase-shifting digital holography. Opt. Lasers Eng. 140, 106550 (2021)

    Article  Google Scholar 

  • Tang, M., Zhu, Y., Zhang, S., et al.: Optical information hiding based on complex-amplitude ptychographic encoding and visual cryptography. Opt. Commun. 510, 127733 (2022)

    Article  CAS  Google Scholar 

  • Tao, S., Tang, C., Shen, Y., et al.: Optical image encryption based on biometric keys and singular value decomposition. Appl. Opt. 59(8), 2422–2430 (2020)

    Article  PubMed  ADS  Google Scholar 

  • Verma, G., Sinha, A.: Optical image encryption system using nonlinear approach based on biometric authentication. J. Mod. Opt. 64(13), 1321–1329 (2017)

    Article  ADS  Google Scholar 

  • Verma, G., Liao, M., Lu, D., et al.: An optical asymmetric encryption scheme with biometric keys. Opt. Lasers Eng. 116, 32–40 (2019a)

    Article  Google Scholar 

  • Verma, G., Liao, M., Lu, D., et al.: An optical asymmetric encryption scheme with biometric keys[J]. Opt. Lasers Eng. 116, 32–40 (2019b)

    Article  Google Scholar 

  • Wang, W., Wang, X., Xu, B., et al.: Optical image encryption and authentication using phase-only computer-generated hologram. Opt. Lasers Eng. 146, 106722 (2021)

    Article  Google Scholar 

  • Wei, H., Wang, X.: Optical multiple-image authentication and encryption based on phase retrieval and interference with sparsity constraints. Opt. Laser Technol. 142, 107257 (2021)

    Article  Google Scholar 

  • Wu, X., Wang, K., Wang, X., et al.: Color image DNA encryption using NCA map-based CML and one-time keys. Signal Process. 148, 272–287 (2018)

    Article  Google Scholar 

  • Xiong, Y.: Security analysis on optical cryptosystem based on interference and phase-retrieval technique. Opt. Laser Technol. 158, 108917 (2023)

    Article  Google Scholar 

  • Yan, A., Wei, Y., Zhang, J.: Security enhancement of optical encryption based on biometric array keys. Opt. Commun. 419, 134–140 (2018)

    Article  CAS  ADS  Google Scholar 

  • Yuan, S., Chen, D., Liu, X., et al.: Optical encryption based on biometrics and single-pixel imaging with random orthogonal modulation. Opt. Commun. 522, 128643 (2022)

    Article  CAS  Google Scholar 

  • Zhang, Y., Zheng, C.H., Tanno, N.: Optical encryption based on iterative fractional Fourier transform. Opt. Commun. 202(4–6), 277–285 (2002)

    Article  CAS  ADS  Google Scholar 

  • Zhou, L., Xiao, Y., Chen, W.: Vulnerability to machine learning attacks of optical encryption based on diffractive imaging. Opt. Lasers Eng. 125, 105858 (2020)

    Article  Google Scholar 

  • Zhou, L., Xiao, Y., Pan, Z., et al.: Optical hiding based on single-input multiple-output and binary amplitude-only holograms via the modified Gerchberg-Saxton algorithm. Opt. Express 29(16), 25675–25696 (2021)

    Article  PubMed  ADS  Google Scholar 

  • Zhu, J., Yang, X., Meng, X., et al.: Computational ghost imaging encryption based on fingerprint phase mask. Opt. Commun. 420, 34–39 (2018)

    Article  CAS  ADS  Google Scholar 

Download references

Funding

This work was supported by National Natural Science Foundation of China (62172139), Natural Science Foundation of Hebei Province (F2022201055, F2020201025, F2019201151), Key Research and Development Project in Hebei Province (21327405D), Project Funded by China Postdoctoral (2022M713361), Science Foundation Science Research Project of Hebei Province (BJ2020030), Natural Science Interdisciplinary Research Program of Hebei University (DXK202102), Advanced Talents Incubation Program of Hebei University (521000981370), Open Project Program of the National Laboratory of Pattern Recognition (NLPR) (202200007).

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Haoran Zhang wrote the initial manuscript, Qinyu Zhao conducted the program coding, Wenjun Xu performed the experimental testing, Fei Li and Shuaiqi Liu conducted the experimental result analysis, and Yonggang Su contributed to algorithm design and manuscript revisions.

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Correspondence to Fei Li or Yonggang Su.

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Zhang, H., Zhao, Q., Xu, W. et al. Optical voice hiding based on chaotic fingerprint phase mask and phase-shifting digital holography. Opt Quant Electron 56, 288 (2024). https://doi.org/10.1007/s11082-023-05851-0

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