A Reversible Meaningful Image Encryption Scheme Based on Block Compressive Sensing

Zhu, Liya; Zhou, Xin; Zhang, Xi

doi:10.1109/icicsp50920.2020.9232129

Cited by 3 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the image scope, some notable CS works involve microwave imaging application [9], 3D thermoacoustic imaging [10], infrared and visible image fusion [11], radar target recognition [12], and hyperspectral image fusion [13]. For image communications, more specifically with block divisions and DCT compression, notable recent works can be seen in [14][15][16].…”

Section: Fig 2 Transmission Of An Image As a Vectormentioning

confidence: 99%

An Analysis of Block Sizes for Compressive Sensing Reconstruction Applied in Image Processing Optimisation

Lima¹,

Araujo²,

Souza³

2023

Proceedings of the 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control

View full text Add to dashboard Cite

Signal sampling is a fundamental process of data acquisition systems and several studies have emerged regarding sampling methods following on Nyquist Theorem. Compressive Sensing (CS) proposes sampling of sparse signals with sub-Nyquist sampling rates. In short, CS is composed of a sampling/compress stage and a reconstruction stage. Some algorithms are used where this last. One of these is the Orthogonal Matching Pursuit (OMP) where 2D Discrete Cosine Transform (2D-DCT) can be used. This work compared the application of 2D-DCT transform and CS theory on images as either a whole or split in blocks. As a result, the influence of block size is revealed using the Mean Square Error (MSE) metric for different block sizes.

show abstract

Section: Fig 2 Transmission Of An Image As a Vectormentioning

confidence: 99%

An Analysis of Block Sizes for Compressive Sensing Reconstruction Applied in Image Processing Optimisation

Lima¹,

Araujo²,

Souza³

2023

Proceedings of the 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control

View full text Add to dashboard Cite

show abstract

“…An encryption method based on interleaved computergenerated holograms displayed by a spatial light modulator was proposed [17]. A hybrid image encryption scheme based on block compressive sensing was developed [18]. e image was encrypted by adopting the image encryption algorithm based on logistic map [19,20].…”

Section: Image Encryption Algorithmmentioning

confidence: 99%

A Real-Time Image Encryption Method of Networked Inverted Pendulum Visual Servo Control System

Liu

Zhang

2020

Complexity

View full text Add to dashboard Cite

In the real-time control of networked inverted pendulum visual servo control system (NIPVSCS), how to achieve safe and efficient image transmission is an important and challenging problem. Generally, the inverted pendulum images are directly transmitted via the network, while these images are not secure because they may be attacked by the hacker. To solve the problem, a fast image encryption method by combining image scaling and improved self-diffusion image encryption (ISDIE) algorithm is firstly proposed, which is employed to encrypt the captured images after they are scaled. The security performance of the proposed algorithm, the characteristics of different delays, and the control performance of the NIPVSCS are then analyzed. Finally, simulation and real-time control experiments confirm the feasibility and effectiveness of the proposed method.

show abstract

Remote sensing image compression and encryption based on block compressive sensing and 2D-LCCCM

Nan

Xia

et al. 2022

Nonlinear Dyn

View full text Add to dashboard Cite

A Reversible Meaningful Image Encryption Scheme Based on Block Compressive Sensing

Cited by 3 publications

References 15 publications

An Analysis of Block Sizes for Compressive Sensing Reconstruction Applied in Image Processing Optimisation

An Analysis of Block Sizes for Compressive Sensing Reconstruction Applied in Image Processing Optimisation

A Real-Time Image Encryption Method of Networked Inverted Pendulum Visual Servo Control System

Remote sensing image compression and encryption based on block compressive sensing and 2D-LCCCM

Contact Info

Product

Resources

About