A novel 1D hybrid chaotic map-based image compression and encryption using compressed sensing and Fibonacci-Lucas transform
type: Item
instance of: scholarly article
title: A novel 1D hybrid chaotic map-based image compression and encryption using compressed sensing and Fibonacci-Lucas transform
zbMATH Open document ID: 1400.94040
DOI: 10.1155/2016/7683687
author: Tongfeng Zhang
author: Shouliang Li
author: Rongjun Ge
author: Min Yuan
author: Yide Ma
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: A one-dimensional (1D) hybrid chaotic system is constructed by three different 1D chaotic maps in parallel-then-cascade fashion. The proposed chaotic map has larger key space and exhibits better uniform distribution property in some parametric range compared with existing 1D chaotic map. Meanwhile, with the combination of compressive sensing (CS) and Fibonacci-Lucas transform (FLT), a novel image compression and encryption scheme is proposed with the advantages of the 1D hybrid chaotic map. The whole encryption procedure includes compression by compressed sensing (CS), scrambling with FLT, and diffusion after linear scaling. Bernoulli measurement matrix in CS is generated by the proposed 1D hybrid chaotic map due to its excellent uniform distribution. To enhance the security and complexity, transform kernel of FLT varies in each permutation round according to the generated chaotic sequences. Further, the key streams used in the diffusion process depend on the chaotic map as well as plain image, which could resist chosen plaintext attack (CPA). Experimental results and security analyses demonstrate the validity of our scheme in terms of high security and robustness against noise attack and cropping attack.
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 94A60
Mathematics Subject Classification ID: 37D45
zbMATH DE Number: 6953562
Wikidata QID: Q59141205
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/7683687
OpenAlex ID: W2347034652
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description: scientific article; zbMATH DE number 6953562