Enhancing image security and privacy with hybrid double random phase encoding, lorenz maps, and compressed sensing
*Anshika MalsariaCorresponding authoranshika.malsaria@jaipur.manipal.eduDepartment of Computer and Communication Engineering Manipal UniversityDepartment of Computer and Communication Engineering Manipal University Jaipur Jaipur, Rajasthan, 303007, IndiaView full profile → , Pankaj Vyaspankaj.vyas@jaipur.manipal.eduDepartment of Information Technology Manipal UniversityDepartment of Information Technology Manipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Manjit KaurManjit.kr@yahoo.comDepartment of Computer Engineering SR UniversityTelangana, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 06 Apr 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1886
- Pages:
- 329–338
Abstract
Keywords
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References
[1] Malsaria, A. and P. Vyas. Study of Various Attacks Over Images Transferred Optically Through Communication Channel. in International Conference on Cyber Warfare, Security and Space Research. Springer (2021).
[2] Sharma, S.K., Kumar, A., Digital Image Transformation Using Outer Totality Cellular Automata. Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-0085-5_69.
[3] Zhang, S. and M.A. Karim, Color image encryption using double random phase encoding. Microwave and optical technology letters, 21(5): p. 318-323 (1999).
[4] Elshamy, E.M., et al., Efficient audio cryptosystem based on chaotic maps and double random phase encoding. International Journal of Speech Technology, 18: p. 619-631 (2015).
[5] Unnikrishnan, G., J. Joseph, and K. Singh, Optical encryption by double-random phase encoding in the fractional Fourier domain. Optics letters, 25(12): p. 887-889 (2000).
[6] Elshamy, A.M., et al., Optical image encryption based on chaotic baker map and double random phase encoding. Journal of Lightwave Technology, 31(15): p. 2533-2539 (2013).
[7] Sharma, N., et al., Phase-image encryption based on 3D-Lorenz chaotic system and double random phase encoding. 3D Research, 8: p. 1-17 (2017).
[8] Huang, H., et al., Chaotic image encryption based on bidimensional empirical mode decomposition and double random phase encoding. Multimedia Tools and Applications, 79: p. 28065-28078 (2020).
[9] Brahim, A.H., A.A. Pacha, and N.H. Said, Image encryption based on compressive sensing and chaos systems. Optics & Laser Technology, 132: p. 106489 (2020).
[10] Liu, Z., M.L. Yang, and W.Q. Yan. Image encryption based on double random phase encoding. in 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ). 2017. IEEE.
[11] Zhu, L., et al., A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding. Signal Processing, 175: p. 107629 (2020).
[12] Situ, G. and J. Zhang, Double random-phase encoding in the Fresnel domain. Optics Letters, 29(14): p. 1584-1586 (2004).
[13] Abuturab, M.R., Securing color image using discrete cosine transform in gyrator transform domain structured-phase encoding. Optics and Lasers in Engineering, 50(10): p. 1383-1390 (2012).
[14] Malsaria, A., P. Vyas, and M. Kaur, Design and implementation of optical image communication encoding grounded on optical Fourier transform. Journal of Optical Communications, 2023(0).
[15] Abuturab, M.R., Color information security system using discrete cosine transform in gyrator transform domain radial-Hilbert phase encoding. Optics and Lasers in Engineering, 50(9): p. 1209-1216 (2012).
[16] Anil Kumar & Sandeep Kumar Sharma. Information cryptography using cellular automata and digital image processing, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1105-1111 (2022), DOI: 10.1080/09720529.2022.2072437.
[17] Deepan, B., et al., Multiple-image encryption by space multiplexing based on compressive sensing and the double-random phase-encoding technique. Applied optics, 53(20): p. 4539-4547 (2014).
[18] Hu, G., et al., Securing image information using double random phase encoding and parallel compressive sensing with updated sampling processes. Optics and Lasers in Engineering, 98: p. 123-133 (2017).
[19] Huang, H. and S. Yang, Image encryption technique combining compressive sensing with double random-phase encoding. Mathematical Problems in Engineering, 2018: p. 1-10 (2018).
[20] Zhou, K., et al., Secure image encryption scheme using double random-phase encoding and compressed sensing. Optics & Laser Technology, 121: p. 105769 (2020).
[21] Zhang, R. and D. Xiao, Double image encryption scheme based on compressive sensing and double random phase encoding. Mathematics, 10(8): p. 1242 (2022).
[22] Liu, Z., et al., Image encryption scheme by using iterative random phase encoding in gyrator transform domains. Optics and Lasers in Engineering, 49(4): p. 542-546 (2011).
[23] Huang, H. and S. Yang, Colour image encryption based on logistic mapping and double random‐phase encoding. IET Image Processing, 11(4): p. 211-216 (2017).
[24] Fang, P., et al., A survey of image encryption algorithms based on chaotic system. The Visual Computer, 39(5): p. 1975-2003 (2023).
[25] Jiang, X., et al., Exploiting optical chaos for double images encryption with compressive sensing and double random phase encoding. Optics Communications, 484: p. 126683 (2021).
[26] Liu, H., et al., Securely compressive sensing using double random phase encoding. Optik, 126(20): p. 2663-2670 (2015).




