Exploiting optical chaos for double images encryption with compressive sensing and double random phase encoding

2021 ◽  
Vol 484 ◽  
pp. 126683
Author(s):  
Xiao Jiang ◽  
Ying Xiao ◽  
Yiyuan Xie ◽  
Bocheng Liu ◽  
Yichen Ye ◽  
...  
Keyword(s):  
Compressive Sensing ◽  
Random Phase ◽  
Phase Encoding ◽  
Optical Chaos ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding

scholarly journals Secure Image Authentication Scheme Using Double Random-Phase Encoding and Compressive Sensing

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Hua Ren ◽  
Shaozhang Niu ◽  
Haiju Fan ◽  
Ming Li ◽  
Zhen Yue
Keyword(s):  
Compressive Sensing ◽  
Random Phase ◽  
Image Authentication ◽  
Authentication Scheme ◽  
Phase Encoding ◽  
Error Matrix ◽  
Noisy Images ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding ◽  
Plain Image

Double random-phase encoding- (DRPE-) based compressive sensing (CS) systems support image authentication for noisy images. When extending such systems to resource-constrained applications, how to ensure the authentication strength for noisy images becomes challenging. To tackle the issue, an efficient and secure image authentication scheme is presented. The phase information of the plain image is generated using DRPE and quantized into a binary image as the authentication information. Meanwhile, a sparser error matrix generated by the same plain image and vector quantization (VQ) image works as the input of CS. The authentication information and VQ indexes are self-hidden into the quantized measurements to construct the combined image. Then, it is permutated and diffused with the chaotic sequences generated from a modified Henon map. After decryption at the receiver side, the verifier can implement the blind authentication between the noisy decoded image and the reconstructed image. Supported by the detailed numerical simulations and theoretical analyses, the DRPE-CSVQ exhibits more powerful compression and authentication capability than its counterpart.

scholarly journals Image Encryption Technique Combining Compressive Sensing with Double Random-Phase Encoding

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Huiqing Huang ◽  
Shouzhi Yang
Keyword(s):  
Image Compression ◽  
Compressive Sensing ◽  
Random Phase ◽  
Hyperchaotic System ◽  
Measurement Matrix ◽  
Phase Encoding ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding ◽  
Encryption Method ◽  
Image Compression And Encryption

A new image compression-encryption method based on compressive sensing and double random-phase encoding is proposed, which can complete image compression and encryption simultaneously. We utilize the hyperchaotic system to generate a measurement matrix and two random-phase masks first. Then the original image is measured by measurement matrix to accomplish encryption and compression at the same time, next the compressed image is reencrypted by the double random-phase encoding technique with the two random-phase masks, and lastly the resulting image is confused and diffused by using hyperchaotic system simultaneously. Some numerical simulations verify the validity and the reliability of the proposed algorithm.

Securely Compressive Sensing Using Double Random Phase Encoding

2014 ◽  
Vol 926-930 ◽  
pp. 3554-3558
Author(s):  
Hong Liu ◽  
Yan Bing Liu ◽  
Guang Xia Xu
Keyword(s):  
Compressive Sensing ◽  
Fractional Fourier Transform ◽  
Random Phase ◽  
Security Level ◽  
Chosen Plaintext Attack ◽  
Image Block ◽  
Phase Encoding ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding ◽  
Encryption Method

Recently, the weakness of existing compressive sensing process from the perspective of the chosen-plaintext attack is discovered. Some algorithms directly use Gaussian matrix as the measurement matrix to do linear dimension reduction projection, which will fail to resist chosen-plaintext attack. To enhance the security and performance of compressive sensing process, double random phase encoding based block compressive sensing is designed, which is chaos-based random phase encoding in fractional Fourier domain for each image block. Moreover, image encryption method using DRPE-based block compressive sensing-combined random phase encoding is proposed. The experimental results demonstrate that the proposed encryption method not only achieves high security level but also has better reconstruction quality compared with other existing encryption methods. Keywords: Securely compressive sensing, fractional Fourier transform, random phase encoding

Securely compressive sensing using double random phase encoding

Optik ◽  
2015 ◽  
Vol 126 (20) ◽  
pp. 2663-2670 ◽  
Author(s):  
Hong Liu ◽  
Di Xiao ◽  
Yanbing Liu ◽  
Yushu Zhang
Keyword(s):  
Compressive Sensing ◽  
Random Phase ◽  
Phase Encoding ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding
Sign in / Sign up

Export Citation Format

Share Document