期刊
OPTICS AND LASER TECHNOLOGY
卷 62, 期 -, 页码 152-160出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.optlastec.2014.02.015
关键词
Image encryption; Image compression; Compressive sensing
资金
- National Natural Science Foundation of China [61262084, 61141007]
- Foundation for Young Scientists of Jiangxi Province [20122BCB23002]
- Natural Science Foundation of Jiangxi Province [20114BAB201018, 20132BAB201019]
- Opening Project of Key Laboratory of Image Processing and Pattern Recognition (Nanchang Hangkong University), Jiangxi Province [TX201204002]
The existing ways to encrypt images based on compressive sensing usually treat the whole measurement matrix as the key, which renders the key too large to distribute and memorize or store. To solve this problem, a new image compression-encryption hybrid algorithm is proposed to realize compression and encryption simultaneously, where the key is easily distributed, stored or memorized. The input image is divided into 4 blocks to compress and encrypt, then the pixels of the two adjacent blocks are exchanged randomly by random matrices. The measurement matrices in compressive sensing are constructed by utilizing the circulant matrices and controlling the original row vectors of the circulant matrices with logistic map. And the random matrices used in random pixel exchanging are bound with the measurement matrices. Simulation results verify the effectiveness, security of the proposed algorithm and the acceptable compression performance. (C) 2014 Elsevier Ltd. All rights reserved.
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