Adaptive embedding: A novel meaningful image encryption scheme based on parallel compressive sensing and slant transform

2021 ◽  
pp. 108220
Author(s):  
Donghua Jiang ◽  
Lidong Liu ◽  
Liya Zhu ◽  
Xingyuan Wang ◽  
Xianwei Rong ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Encryption Scheme ◽  
Slant Transform ◽  
Adaptive Embedding

Subdata image encryption scheme based on compressive sensing and vector quantization

2020 ◽  
Vol 32 (16) ◽  
pp. 12771-12787
Author(s):  
Haiju Fan ◽  
Kanglei Zhou ◽  
En Zhang ◽  
Wenying Wen ◽  
Ming Li
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Vector Quantization ◽  
Encryption Scheme

scholarly journals A visually secure image encryption scheme based on compressive sensing

2017 ◽  
Vol 134 ◽  
pp. 35-51 ◽  
Author(s):  
Xiuli Chai ◽  
Zhihua Gan ◽  
Yiran Chen ◽  
Yushu Zhang
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Encryption Scheme

A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding

2020 ◽  
Vol 175 ◽  
pp. 107629 ◽  
Author(s):  
Liya Zhu ◽  
Huansheng Song ◽  
Xi Zhang ◽  
Maode Yan ◽  
Tao Zhang ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Encryption Scheme

scholarly journals An Image Encryption Scheme Based on Hybrid Electro-Optic Chaotic Sources and Compressive Sensing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 156582-156591 ◽  
Author(s):  
Weidong Shao ◽  
Mengfan Cheng ◽  
Chenkun Luo ◽  
Lei Deng ◽  
Minming Zhang ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Encryption Scheme ◽  
Electro Optic

scholarly journals An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 758
Author(s):  
Zhen Li ◽  
Changgen Peng ◽  
Weijie Tan ◽  
Liangrong Li
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Chaotic Map ◽  
Coefficient Matrix ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Two Dimensional ◽  
Comparison Results ◽  
Plain Image ◽  
Chaotic Image Encryption

With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.

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