Proceedings Article10.1109/ICIVC.2018.8492882
An Image Compression-Encryption Algorithm Based on Cellular Neural Network and Compressive Sensing
Jia Lin,Yuling Luo,Junxiu Liu,Jinjie Bi,Senhui Qiu,Cen Mingcan,Liao Zhixian +6 more
- 27 Jun 2018
- pp 673-677
16
TL;DR: An image encryption algorithm on the basis of cellular neural networks (CNN) and compressive sensing (CS) and the index of the sorted chaotic sequence is used to control the generation of measurement matrix in CS procedure.
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Abstract: In this paper, an image encryption algorithm on the basis of cellular neural networks (CNN) and compressive sensing (CS) is proposed. Firstly, four CNN with hyper chaotic behavior is introduced to generate chaotic sequence. Then, the index of the sorted chaotic sequence is used to control the generation of measurement matrix in CS procedure. Moreover, Lissajous map is served to produce asymptotic deterministic random measurement matrix instead of the common random measurement matrix. In addition, the chaotic sequence is normalized to 8-bit integer to diffuse the result after applying CS operation on the plain image, and the image after compression and encryption is obtained. The simulation results and analysis verify the proposed algorithm owns good security and ideal performance.
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References
Atomic Decomposition by Basis Pursuit
TL;DR: Basis Pursuit (BP) is a principle for decomposing a signal into an "optimal" superposition of dictionary elements, where optimal means having the smallest l1 norm of coefficients among all such decompositions.
11.3K
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Deanna Needell,Joel A. Tropp +1 more
TL;DR: A new iterative recovery algorithm called CoSaMP is described that delivers the same guarantees as the best optimization-based approaches and offers rigorous bounds on computational cost and storage.
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition
Y.C. Pati,R. Rezaiifar,Perinkulam S. Krishnaprasad +2 more
- 01 Nov 1993
TL;DR: A modification to the matching pursuit algorithm of Mallat and Zhang (1992) that maintains full backward orthogonality of the residual at every step and thereby leads to improved convergence is proposed.
Atomic Decomposition by Basis Pursuit
TL;DR: This work gives examples exhibiting several advantages over MOF, MP, and BOB, including better sparsity and superresolution, and obtains reasonable success with a primal-dual logarithmic barrier method and conjugate-gradient solver.
Color image encryption based on hybrid hyper-chaotic system and cellular automata
TL;DR: Security analysis and experimental results show that the proposed method has a very large key space and is resistive against noise and attacks and the amount of entropy is equal to 7.9991 which is very close to 8 which is ideal.
363