CLC number: TN919.81
On-line Access: 2023-07-03
Received: 2022-12-16
Revision Accepted: 2023-07-03
Crosschecked: 2023-03-02
Cited: 0
Clicked: 1333
Citations: Bibtex RefMan EndNote GB/T7714
Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU. A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(6): 813-827.
@article{title="A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations",
author="Yuanyuan LI, Xiaoqing YOU, Jianquan LU, Jungang LOU",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="6",
pages="813-827",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200645"
}
%0 Journal Article
%T A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations
%A Yuanyuan LI
%A Xiaoqing YOU
%A Jianquan LU
%A Jungang LOU
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 6
%P 813-827
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200645
TY - JOUR
T1 - A joint image compression and encryption scheme based on a novel coupled map lattice system and DNA operations
A1 - Yuanyuan LI
A1 - Xiaoqing YOU
A1 - Jianquan LU
A1 - Jungang LOU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 6
SP - 813
EP - 827
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200645
Abstract: In this paper, an efficient image encryption scheme based on a novel mixed linear–nonlinear coupled map lattice (NMLNCML) system and DNA operations is presented. The proposed NMLNCML system strengthens the chaotic characteristics of the system, and is applicable for image encryption. The main advantages of the proposed method are embodied in its extensive key space; high sensitivity to secret keys; great resistance to chosen-plaintext attack, statistical attack, and differential attack; and good robustness to noise and data loss. Our image cryptosystem adopts the architecture of scrambling, compression, and diffusion. First, a plain image is transformed to a sparsity coefficient matrix by discrete wavelet transform, and plaintext-related Arnold scrambling is performed on the coefficient matrix. Then, semi-tensor product (STP) compressive sensing is employed to compress and encrypt the coefficient matrix. Finally, the compressed coefficient matrix is diffused by DNA random encoding, DNA addition, and bit XOR operation. The NMLNCML system is applied to generate chaotic elements in the STP measurement matrix of compressive sensing and the pseudo-random sequence in DNA operations. An SHA-384 function is used to produce plaintext secret keys and thus makes the proposed encryption algorithm highly sensitive to the original image. Simulation results and performance analyses verify the security and effectiveness of our scheme.
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