A robust image encryption algorithm based on Chua's circuit and compressive sensing

Yuling Luo, Jia Lin, Junxiu Liu, Duqu Wei, Lvchen Cao, Ronglong Zhou, Yi Cao, Xuemei Ding

Research output: Contribution to journalArticlepeer-review

Abstract

In terms of Chua’s circuit system, compressive sensing (CS) and Haar wavelet, a novel image compression-encryption scheme (CES) is proposed in this paper. Firstly, the plaintext image is decomposed into approximate component and detail components through Haar wavelet. Then the approximate component is diffused by the threshold processing of local binary patterns (LBP) operator-based chaotic sequence which is produced by the combination of Chua’s circuit and Logistic map. Next, the Lissajous map is applied to generate the chaos-combined asymptotic deterministic random measurement matrices (CADRMM) which are employed to measure the detail components in different compression ratios. In addition, the combination of mapped approximate and detail components is shuffled by the Logistic map. The experimental results and simulation analysis prove that the proposed cryptosystem is capable of reducing data for transmission and has good security performance under various attacks, especially for the shear and noise attacks.
Original languageEnglish
Pages (from-to)227-247
JournalSignal Processing
Volume161
Early online date28 Mar 2019
DOIs
Publication statusPublished - Aug 2019

Keywords

  • cryptosystem
  • compressive sensing
  • Chua’s circuit system
  • Haar wavelet
  • CADRMM

Fingerprint

Dive into the research topics of 'A robust image encryption algorithm based on Chua's circuit and compressive sensing'. Together they form a unique fingerprint.

Cite this