Abstract
In this paper, a meaningful ciphertext compression and encryption method is proposed. Firstly, the image is sparsely transformed based on wavelet transform, scrambled and compressed to get the Gaussian noise-like ciphertext. Then, the distribution of noise-like ciphertext is changed by a histogram shift, and the meaningful ciphertext is obtained by the least significant bit (LSB) XOR. Finally, the ciphertext is modified by \(2^K\) correction, and the ciphertext with better quality is obtained. In order to ensure the plaintext sensitivity and the ability to resist the attack of selecting plain ciphertext, the plaintext of SHA-256 is used to generate dynamic keys so that the whole process can achieve the effect of one-image-one-key. Experimental results show that this meaningful ciphertext encryption method has excellent quality of ciphertext and ensures visual security as well as. At the same time, the algorithm has a good ability to resist conventional attacks and has certain practicability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guo, Y., Jing, S., Zhou, Y., Xu, X., Wei, L.: An image encryption algorithm based on logistic-fibonacci cascade chaos and 3D bit scrambling. IEEE Access. 8, 9896–9912 (2020). https://doi.org/10.1109/ACCESS.2019.2963717
Liu, L., Wang, J.: A cluster of 1D quadratic chaotic map and its applications in image encryption. Math. Comput. Simul. 204, 89–114 (2022). https://doi.org/10.1016/j.matcom.2022.07.030
Cao, W., Mao, Y., Zhou, Y.: Designing a 2D infinite collapse map for image encryption. Signal Process. 171, 107457 (2020). https://doi.org/10.1016/j.sigpro.2020.107457
Bao, L., Zhou, Y.: Image encryption: generating visually meaningful encrypted images. Inf. Sci. 324, 197–207 (2015). https://doi.org/10.1016/j.ins.2015.06.049
Chai, X., Gan, Z., Chen, Y., Zhang, Y.: A visually secure image encryption scheme based on compressive sensing. Signal Process. 134, 35–51 (2017). https://doi.org/10.1016/j.sigpro.2016.11.016
Chai, X., Wu, H., Gan, Z., Zhang, Y., Chen, Y.: Hiding cipher-images generated by 2-D compressive sensing with a multi-embedding strategy. Signal Process. 171, 107525 (2020). https://doi.org/10.1016/j.sigpro.2020.107525
Chai, X., Wu, H., Gan, Z., Han, D., Zhang, Y., Chen, Y.: An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing. Inf. Sci. 556, 305–340 (2021). https://doi.org/10.1016/j.ins.2020.10.007
Yang, Y.G., Zhang, Y.C., Chen, X., Zhou, Y.H., Shi, W.M.: Eliminating the texture features in visually meaningful cipher images. Inf. Sci. 429, 102–119 (2018). https://doi.org/10.1016/j.ins.2017.11.009
Kanso, A., Ghebleh, M.: An algorithm for encryption of secret images into meaningful images. Opt. Lasers Eng. 90, 196–208 (2017). https://doi.org/10.1016/j.optlaseng.2016.10.009
Wang, H., Xiao, D., Li, M., Xiang, Y., Li, X.: A visually secure image encryption scheme based on parallel compressive sensing. Signal Process. 155, 218–232 (2019). https://doi.org/10.1016/j.sigpro.2018.10.001
Armijo-Correa, J.O., Murguía, J.S., Mejía-Carlos, M., Arce-Guevara, V.E., Aboytes-González, J.A.: An improved visually meaningful encrypted image scheme. Opt. Laser Technol. 127, 106165 (2020). https://doi.org/10.1016/j.optlastec.2020.106165
Yang, Y.-G., Wang, B.-P., Yang, Y.-L., Zhou, Y.-H., Shi, W.-M., Liao, X.: Visually meaningful image encryption based on universal embedding model. Inf. Sci. 562, 304–324 (2021). https://doi.org/10.1016/j.ins.2021.01.041
Yang, Y.-G., Wang, B.-P., Pei, S.-K. Zhou, Y.-H., Shi, W.-M., Liao, X.: Using M-ary decomposition and virtual bits for visually meaningful image encryption. Inf. Sci. 580, 174–201 (2021). https://doi.org/10.1016/j.ins.2021.08.073
Wang, X., Ren, Q., Jiang, D.: An adjustable visual image cryptosystem based on 6D hyperchaotic system and compressive sensing. Nonlinear Dyn. 104, 4543–4567 (2021). https://doi.org/10.1007/s11071-021-06488-y
Huang, X., Dong, Y., Guodong, Y.E., Shi, Y.: Meaningful image encryption algorithm based on compressive sensing and integer wavelet transform. Front. Comput. Sci. 104, 1–20 (2022). https://doi.org/10.1007/s11704-022-1419-8
Zhu, L., et al.: A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding. Signal Process. 175, 107629 (2020). https://doi.org/10.1016/j.sigpro.2020.107629
Chai, X., Wu, H., Gan, Z., Zhang, Y., Chen, Y., Nixon, K.W.: An efficient visually meaningful image compression and encryption scheme based on compressive sensing and dynamic LSB embedding. Opt. Lasers. Eng. 124, 105837 (2020). https://doi.org/10.1016/j.optlaseng.2019.105837
Yang, Y.-G., Wang, B.-P., Yang, Y.-L., Zhou, Y.-H., Shi, W.-M., Liao, X.: A visually meaningful image encryption algorithm based on adaptive 2D compressive sensing and chaotic system. Multimed. Tools App. 1–30 (2022). https://doi.org/10.1007/s11042-021-11656-8
Hua, Z., Zhang, K., Li, Y., Zhou, Y.: Visually secure image encryption using adaptive-thresholding sparsification and parallel compressive sensing. Signal Process. 183, 107998 (2021). https://doi.org/10.1016/j.sigpro.2021.107998
Jiang, D., Liu, L., Zhu, L., Wang, X., Rong, X., Chai, H.: Adaptive embedding: a novel meaningful image encryption scheme based on parallel compressive sensing and slant transform. Signal Process. 188, 108220 (2021). https://doi.org/10.1016/j.sigpro.2021.108220
Acknowledgements
This work was supported in part by the national Natural Science Fund of China no.61871170; Key Research and Development Plan of Zhejiang: No. 2021C03131. Open Fund of Key Laboratory of Data Link Technology of CETC 20th Institute: No.CLDL-20202207.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tang, Z., Jing, S., Li, J., Hui, G., Tian, W. (2022). Image Compression and Meaningful Ciphertext Encryption Based on Histogram Shift Embedding. In: Hsieh, SY., Hung, LJ., Klasing, R., Lee, CW., Peng, SL. (eds) New Trends in Computer Technologies and Applications. ICS 2022. Communications in Computer and Information Science, vol 1723. Springer, Singapore. https://doi.org/10.1007/978-981-19-9582-8_35
Download citation
DOI: https://doi.org/10.1007/978-981-19-9582-8_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-9581-1
Online ISBN: 978-981-19-9582-8
eBook Packages: Computer ScienceComputer Science (R0)