期刊
OPTICS AND LASERS IN ENGINEERING
卷 124, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2019.105837
关键词
Image compression and encryption; Compressive sensing; 3-D Cat map
类别
资金
- National Natural Science Foundation of China [41571417, U1604145, 61802111, 61872125, 61871175]
- Science and Technology Foundation of Henan Province of China [182102210027, 182102410051]
- China Postdoctoral Science Foundation [2018T110723, 2016M602235]
- Key Scientific Research Projects for Colleges and Universities of Henan Province [19A413001]
- Guangxi Key Laboratory of Trusted Software [kx201904]
In this paper, an efficient visually meaningful image compression and encryption (VMICE) scheme is proposed by combining compressive sensing (CS) and Least Significant Bit (LSB) embedding. First, the original image (I-orig) is compressed and encrypted into a secret image (I-sec) by CS and Zigzag confusion. Next, dynamic LSB embedding is utilized to randomly embed I-sec into a separate carrier image (I-car) to create the final visually meaningful (VM) cipher image (I-ciph), which is the same size as I-orig. To generate the measurement matrix for CS and determine the embedding position of I-sec, in I-car, a 3-D Cat map is employed. The utilization of this less-chaotic system makes our algorithm easy to implement. Moreover, the initial values of Cat map are computed using I-orig, making our image compression and encryption (ICE) algorithm robust to known-plaintext and chosen-plaintext attacks. Additionally, the adoption of LSB embedding allows for I-car to be selected independently of I-orig. Simulation results and performance analyses are presented to illustrate the effectiveness and efficiency of the proposed cryptosystem.
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