Optics and Precision Engineering, Volume. 31, Issue 3, 417(2023)
Neural network-based computational holographic encryption image reconstruction scheme for chaotic iris phase mask
[1] PSALTIS D. Coherent optical information systems[J]. Science, 298, 1359-1363(2002).
[2] CHEN W, JAVIDI B, CHEN X D. Advances in optical security systems[J]. Advances in Optics and Photonics, 6, 120-155(2014).
[3] REFREGIER P, JAVIDI B. Optical image encryption based on input plane and Fourier plane random encoding[J]. Optics Letters, 20, 767-769(1995).
[4] SITU G H, ZHANG J J. Double random-phase encoding in the Fresnel domain[J]. Optics Letters, 29, 1584-1586(2004).
[5] CHEN L F, ZHAO D M. Optical color image encryption by wavelength multiplexing and lensless Fresnel transform holograms[J]. Optics Express, 14, 8552-8560(2006).
[6] LI C L, LI H M, LI F D et al. Multiple-image encryption by using robust chaotic map in wavelet transform domain[J]. Optik, 171, 277-286(2018).
[7] MARRON J C, KENDRICK R L, SELDOMRIDGE N et al. Atmospheric turbulence correction using digital holographic detection: experimental results[J]. Optics Express, 17, 11638-11651(2009).
[8] [8] 8王雪, 刘虹遥, 路鑫超, 等. 无透镜全息显微细胞成像[J]. 光学 精密工程, 2020, 28(8): 1644-1650.WANGX, LIUH Y, LUX CH, et al. Cell imaging by holographic lens-free microscopy[J]. Opt. Precision Eng., 2020, 28(8): 1644-1650. (in Chinese)
[9] [9] 9纵浩天, 张运海, 王发民, 等. 大视场线扫描共聚焦全息显微成像[J]. 光学 精密工程, 2021, 29(1): 1-9. doi: 10.37188/OPE.20212901.0001ZONGH T, ZHANGY H, WANGF M, et al. Large field of view line-scanning confocal holographic microscopy[J]. Opt. Precision Eng., 2021, 29(1): 1-9. (in Chinese). doi: 10.37188/OPE.20212901.0001
[10] SINGH N, SINHA A. Optical image encryption using fractional Fourier transform and chaos[J]. Optics and Lasers in Engineering, 46, 117-123(2008).
[11] SUI L S, DUAN K K, LIANG J L et al. Asymmetric double-image encryption based on cascaded discrete fractional random transform and logistic maps[J]. Optics Express, 22, 10605-10621(2014).
[12] [12] 12金聪, 刘会. 量子混沌与折叠算法的图像加密系统[J]. 光学 精密工程, 2017, 25(3): 749-755. doi: 10.3788/ope.20172503.0749JINC, LIUH. An image encryption scheme based on quantum chaos and folding algorithm[J]. Opt. Precision Eng., 2017, 25(3): 749-755. (in Chinese). doi: 10.3788/ope.20172503.0749
[13] [13] 13郭媛, 王充. 改进Zigzag遍历与哈希的Lorenz混沌构建[J]. 光学 精密工程, 2021, 29(2): 411-419. doi: 10.37188/ope.20212902.0411GUOY, WANGCH. Improved Zigzag traversal and Lorenz chaotic construction of hash[J]. Opt. Precision Eng., 2021, 29(2): 411-419. (in Chinese). doi: 10.37188/ope.20212902.0411
[14] SUN X R, HU T, MA L H et al. The encryption and decryption technology with chaotic iris and compressed sensing based on computer-generated holography[J]. Journal of Optics, 51, 124-132(2022).
[15] MA L H, SUN X R, JIN W M. Symmetric-asymmetric hybrid encryption and decryption system based on chaotic iris phase mask and computer-generated holography[J]. Optical Engineering, 59(2020).
[16] QIN W, PENG X. Asymmetric cryptosystem based on phase-truncated Fourier transforms[J]. Optics Letters, 35, 118-120(2010).
[17] MA L, WANG Y H, TAN T N. Iris recognition using circular symmetric filters[C], 414-417(2002).
[18] TASHIMA H, TAKEDA M, SUZUKI H et al. Known plaintext attack on double random phase encoding using fingerprint as key and a method for avoiding the attack[J]. Optics Express, 18, 13772-13781(2010).
[19] SOLIMAN R F, BANBY G MEL, ALGARNI A D et al. Double random phase encoding for cancelable face and iris recognition[J]. Applied Optics, 57, 10305-10316(2018).
[20] MA L H, JIN W M. Symmetric and asymmetric hybrid cryptosystem based on compressive sensing and computer generated holography[J]. Optics Communications, 407, 51-56(2018).
[21] SIMONYAN K, VEDALDI A, ZISSERMAN A. Learning local feature descriptors using convex optimisation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 1573-1585(2014).
[22] SZEGEDY C, LIU W, JIA Y Q et al. Going deeper with convolutions[C], 1-9(2015).
[23] HE K M, ZHANG X Y, REN S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
[24] [24] 24刘航, 肖永亮, 田军龙, 等. 基于深度学习的离轴菲涅耳数字全息非线性重构[J]. 光子学报, 2020, 49(7): 199-210. doi: 10.3788/gzxb20204907.0709001LIUH, XIAOY L, TIANJ L, et al. Nonlinear reconstruction for off-axis Fresnel digital holography with deep learning[J]. Acta Photonica Sinica, 2020, 49(7): 199-210. (in Chinese). doi: 10.3788/gzxb20204907.0709001
[25] WANG K Q, QIAN K M, DI J L et al. Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction[J]. Optics Letters, 45, 4220-4223(2020).
[26] YIN D, GU Z Z, ZHANG Y R et al. Digital holographic reconstruction based on deep learning framework with unpaired data[J]. IEEE Photonics Journal, 12, 1-12(2019).
[27] PAN S X, LIAO M H et al. Cryptanalysis of random-phase-encoding-based optical cryptosystem via deep learning[J]. Optics Express, 27, 21204-21213(2019).
[28] [28] 28徐昭, 周昕, 白星, 等. 基于深度学习的相位截断傅里叶变换非对称加密系统攻击方法[J]. 物理学报, 2021, 70(14): 226-232. doi: 10.7498/aps.70.20202075XUZH, ZHOUX, BAIX, et al. Attacking asymmetric cryptosystem based on phase truncated Fourier fransform by deep learning[J]. Acta Physica Sinica, 2021, 70(14): 226-232. (in Chinese). doi: 10.7498/aps.70.20202075
[29] [29] 29徐昭, 周昕, 白星, 等. 基于深度学习的混沌加密灰度图像重建方法[J]. 光学与光电技术, 2021, 19(3): 75-81.XUZH, ZHOUX, BAIX, et al. Reconstruction of chaotic grayscale image encryption based on deep learning[J]. Optics & Optoelectronic Technology, 2021, 19(3): 75-81. (in Chinese)
[30] LEE Y T C, FANG Y C, TIEN C H. Deep neural network for coded mask cryptographical imaging[J]. Applied Optics, 60, 1686-1693(2021).
[31] LIAO M H, ZHENG S S, PAN S X et al. Deep-learning-based ciphertext-only attack on optical double random phase encryption[J]. Opto-Electronic Advances, 4, 200016(2021).
[32] WANG X G, WEI H Y. Cryptanalysis of compressive interference-based optical encryption using a U-net deep learning network[J]. Optics Communications, 507, 127641(2022).
[33] JIN M X, WANG W Q, WANG X G. Optical color image cryptosystem based on interference principle and deep learning[J]. Optik, 251, 168474(2022).
[34] WANG S Y, HONG L, JIANG J. An image encryption scheme using a chaotic neural network and a network with multistable hyperchaos[J]. Optik, 268, 169758(2022).
[35] WANG F, NI R J, WANG J et al. Invertible encryption network for optical image cryptosystem[J]. Optics and Lasers in Engineering, 149, 106784(2022).
[36] ZHANG L, WANG Y, LI D H et al. Cryptanalysis for a light-field 3D cryptosystem based on M-cGAN[J]. Optics Letters, 46, 4916-4919(2021).
[37] WANG X G, WANG W Q, WEI H Y et al. Holographic and speckle encryption using deep learning[J]. Optics Letters, 46, 5794-5797(2021).
Get Citation
Copy Citation Text
Tao HU, Xueru SUN, Weimin JIN. Neural network-based computational holographic encryption image reconstruction scheme for chaotic iris phase mask[J]. Optics and Precision Engineering, 2023, 31(3): 417
Category: Information Sciences
Received: May. 20, 2022
Accepted: --
Published Online: Mar. 7, 2023
The Author Email: Weimin JIN (jhjinwm@163.com)