A chaos-based self-adapting RGB image permutation scheme

Yuling Luo, Ronglong Zhou, Lvchen Cao, Junxiu Liu, Jinjie Bi, Yi Cao, Senhui Qiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a novel self-adapting image permutation scheme based on RGB rotation and cycle shift (RrCS) is proposed. Firstly, three pseudo-random sequences are generated from the tent chaos map, in which the initial values are obtained in the accordance of the original RGB image features. Moreover, each value of the three sequences is transformed to control the degree of each rotation and cycle-shift. Specifically, each pixelplane of RGB image is processed in parallel and in meantime interacted with each other. Finally, some images are taken as the experimental examples to verify the performance and security of RrCS algorithm. The experimental results and various test analysis demonstrate that the proposed RrCS has a fast permutation speed and a high security, thus it can be used for RGB image encryption.

Original languageEnglish
Title of host publicationICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
EditorsLiang Zhao, Lipo Wang, Guoyong Cai, Kenli Li, Yong Liu, Guoqing Xiao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages336-341
Number of pages6
ISBN (Electronic)9781538621653
DOIs
Publication statusPublished - 25 Jun 2018
Event13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 - Guilin, Guangxi, China
Duration: 29 Jul 201731 Jul 2017

Publication series

NameICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

Conference

Conference13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017
Country/TerritoryChina
CityGuilin, Guangxi
Period29/07/1731/07/17

Keywords

  • cycle shift
  • image permutation
  • rotation
  • tent chaos map

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