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Image encryption based on compressive sensing and chaos systems

Optics and Laser Technology, 2020
Recently, a new image encryption technique based on compressive sensing (CS) has been proposed. CS allows the signal to be sampled at a much lower rate than the Nyquist- Shannon rate. Furthermore, the signal can be sampled and compressed in a single step
A. H. Brahim, A. Pacha, N. H. Said
semanticscholar   +1 more source

Compressed Motion Sensing

2017
We consider the problem of sparse signal recovery in dynamic sensing scenarios. Specifically, we study the recovery of a sparse time-varying signal from linear measurements of a single static sensor that are taken at two different points in time. This setup can be modelled as observing a single signal using two different sensors – a real one and a ...
Dalitz, Robert   +2 more
openaire   +1 more source

A fast image encryption algorithm based on compressive sensing and hyperchaotic map

Optics and lasers in engineering, 2019
In this paper, we propose a new two-dimensional Sine improved Logistic iterative chaotic map with infinite collapse (ICMIC) modulation map (2D-SLIM) based on the improved two-dimensional closed-loop modulation coupling model.
Qiaoyun Xu, K. Sun, Chun Cao, Congxu Zhu
semanticscholar   +1 more source

An image compression and encryption algorithm based on chaotic system and compressive sensing

Optics and Laser Technology, 2019
For a linear image encryption system, it is vulnerable to the chosen-plaintext attack. To overcome the weakness and reduce the correlation among pixels of the encryption image, an effective image compression and encryption algorithm based on chaotic ...
L. Gong   +3 more
semanticscholar   +1 more source

A visually secure image encryption scheme based on parallel compressive sensing

Signal Processing, 2019
It is generally recognized that encrypting an original image into meaningless cipher image is an ideal method to protect image information. However, during transmission, the meaningless cipher image would draw attention and thus attract attacks. Recently,
Hui Wang   +4 more
semanticscholar   +1 more source

Compressed sensing

IEEE Transactions on Information Theory, 2006
Summary: Suppose \(x\) is an unknown vector in \(\mathbb R^m\) (a digital image or signal); we plan to measure \(n\) general linear functionals of \(x\) and then reconstruct. If \(x\) is known to be compressible by transform coding with a known transform, and we reconstruct via the nonlinear procedure defined here, the number of measurements \(n\) can ...
openaire   +1 more source

An optical image compression and encryption scheme based on compressive sensing and RSA algorithm

Optics and lasers in engineering, 2019
Most of the image encryption algorithms are the private-key cryptosystem, in which the encryption process and the decryption process employ the same keys.
L. Gong   +3 more
semanticscholar   +1 more source

Demosaicking with compressive sensing

2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
Sparse signals can be recovered with less number of measurements compared to standard methods using Compressive Sensing (CS) theory. In digital cameras, color filter arrays (CFA) are used to sample each color band with less measurements than the normal. The color images are reconstructed using interpolation of measured pixel values.
Gürbüz, A. C., İlbeği, H.
openaire   +2 more sources

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