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A visually secure image encryption scheme based on compressive sensing

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TLDR
Simulation results and performance analyses verify the effectiveness of the proposed encryption algorithm, which can achieve the image data security and image appearance security simultaneously, and the size of the cipher image and original image is equal, it does not require additional transmission bandwidth and storage space.
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This article is published in Signal Processing.The article was published on 2017-05-01 and is currently open access. It has received 218 citations till now. The article focuses on the topics: Probabilistic encryption & Encryption.

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Journal ArticleDOI

Cosine-transform-based chaotic system for image encryption

TL;DR: A cosine-transform-based chaotic system (CTBCS) that can produce chaotic maps with complex dynamical behaviors and an image encryption scheme that provides a higher level of security than several advanced image encryption schemes.
Journal ArticleDOI

2D Logistic-Sine-coupling map for image encryption

TL;DR: A two-dimensional (2D) Logistic-Sine-coupling map (LSCM) is presented and performance estimations demonstrate that it has better ergodicity, more complex behavior and larger chaotic range than several newly developed 2D chaotic maps.
Journal ArticleDOI

A novel bit-level image encryption algorithm based on 2D-LICM hyperchaotic map

TL;DR: A novel image encryption algorithm is designed by employing bit-level permutation and diffusion simultaneously, which has good encryption effect and high efficiency and can resist typical attacks including statistical, brute-force, differential attacks and so forth.
Journal ArticleDOI

A new hybrid digital chaotic system with applications in image encryption

TL;DR: Security and performance analysis indicates that the proposed scheme is highly resistant to various cryptanalytic attacks, is statistically superior and more secure than previously proposed chaos-based image ciphers.
Journal ArticleDOI

An image encryption algorithm based on chaotic system and compressive sensing

TL;DR: An image encryption algorithm based on chaotic system and compressive sensing and the ECA that can compress and encrypt the image simultaneously by use of CS, which may reduce the amount of data and storage space.
References
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Compressed sensing

TL;DR: It is possible to design n=O(Nlog(m)) nonadaptive measurements allowing reconstruction with accuracy comparable to that attainable with direct knowledge of the N most important coefficients, and a good approximation to those N important coefficients is extracted from the n measurements by solving a linear program-Basis Pursuit in signal processing.
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

TL;DR: In this paper, the authors considered the model problem of reconstructing an object from incomplete frequency samples and showed that with probability at least 1-O(N/sup -M/), f can be reconstructed exactly as the solution to the lscr/sub 1/ minimization problem.
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A new 1D chaotic system for image encryption

TL;DR: Simulations and performance evaluations show that the proposed system is able to produce many 1D chaotic maps with larger chaotic ranges and better chaotic behaviors compared with their seed maps.
Journal ArticleDOI

A novel chaotic image encryption scheme using DNA sequence operations

TL;DR: Experimental results and theoretical analysis show that the scheme is able to resist various attacks, so it has extraordinarily high security.
Journal ArticleDOI

A novel image encryption scheme based on substitution-permutation network and chaos

TL;DR: A novel image encryption approach based on permutation-substitution (SP) network and chaotic systems that shows superior performance than previous schemes.
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