期刊
OPTICS COMMUNICATIONS
卷 343, 期 -, 页码 10-21出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.optcom.2014.12.084
关键词
Compressive sensing; Fractional Mellin transform; NSL0 algorithm; Logistic map; Image encryption
类别
资金
- National Natural Science Foundation of China [61262084, 61462061]
- Foundation for Young Scientists of Jiangxi Province (Jinggang Star) [20122BCB23002]
- Natural Science Foundation of Jiangxi Province [20142BAB207004]
- Opening Project of Shanghai Key Laboratory of Integrate Administration Technologies for Information Security [AGK2014004]
- Innovation Project of Jiangxi Graduate Education [YC2014-S070]
Most of the existing image encryption techniques bear security risks for taking linear transform or suffer encryption data expansion for adopting nonlinear transformation directly. To overcome these difficulties, a novel image compression-encryption scheme is proposed by combining 2D compressive sensing with nonlinear fractional Mellin transform. In this scheme, the original image is measured by measurement matrices in two directions to achieve compression and encryption simultaneously, and then the resulting image is re-encrypted by the nonlinear fractional Mellin transform. The measurement matrices are controlled by chaos map. The Newton Smoothed l(0) Norm (NSL0) algorithm is adopted to obtain the decryption image. Simulation results verify the validity and the reliability of this scheme. (C) 2015 Elsevier B.V. All rights reserved.
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