@inproceedings{3d6a364a88f343dd9deebadc24977d7a,
title = "A chaos-based self-adapting RGB image permutation scheme",
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.",
keywords = "cycle shift, image permutation, rotation, tent chaos map",
author = "Yuling Luo and Ronglong Zhou and Lvchen Cao and Junxiu Liu and Jinjie Bi and Yi Cao and Senhui Qiu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017 ; Conference date: 29-07-2017 Through 31-07-2017",
year = "2018",
month = jun,
day = "21",
doi = "10.1109/FSKD.2017.8393290",
language = "English",
series = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "336--341",
editor = "Liang Zhao and Lipo Wang and Guoyong Cai and Kenli Li and Yong Liu and Guoqing Xiao",
booktitle = "ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery",
}