Color Image Compression-Encryption Algorithm Based on Fractional-Order Memristor Chaotic Circuit

• Published in: IEEE access Vol. 7; pp. 58751 - 58763
• Main Authors: Yang, Feifei, Mou, Jun, Sun, Kehui, Cao, Yinghong, Jin, Jiyu
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: add modulus and BitCircShift diffuse; Algorithms; Bifurcations; Chaos theory; Circuits; Color; Color image encryption; Color imagery; compression sensing (CS); Dynamic characteristics; Encryption; fractional-order memristive chaotic circuit; Heuristic algorithms; Image coding; Image compression; Image transmission; Liapunov exponents; Memristors; Phase diagrams; Pseudorandom sequences; Sparse matrices; zigzag confusion
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2914722

In this paper, a fractional-order memristive chaotic circuit system is defined according to memristor circuit. The dynamic characteristics are analyzed through the phase diagram, bifurcation diagram, and Lyapunov exponent spectrum, and the randomness of the chaotic pseudo-random sequence is tested by NIST SP800-22. Based on this fractional-order memristive chaotic circuit, we propose a novel color image compression-encryption algorithm. In this algorithm, compression sensing (CS) algorithm is used for compression image, and then using Zigzag confusion, add modulus and BitCircShift diffuse encrypt the image. The theoretical analysis and simulation results indicate that the proposed compression and encryption scheme has good compression performance, reconstruction effect, and higher safety performance. Moreover, it also shows that the new algorithm facilitates encryption, storage, and transmission of image information in practical applications.