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Author:

Yang, Yu-Guang (Yang, Yu-Guang.) | Wang, Bao-Pu (Wang, Bao-Pu.) | Pei, Shuai-Kang (Pei, Shuai-Kang.) | Zhou, Yi-Hua (Zhou, Yi-Hua.) | Shi, Wei-Min (Shi, Wei-Min.) | Liao, Xin (Liao, Xin.)

Indexed by:

EI Scopus SCIE

Abstract:

A visually meaningful image encryption algorithm is presented. More specifically, a strategy of M-ary decomposition is first presented to be used to represent a positive integer in multi base. Then the concept of virtual bits is presented and the relationship between it and the M-ary decomposition is discussed. Based on the M-ary decomposition strategy, a non-standard image pre-encryption algorithm is proposed where each pixel value of the pre-encrypted image is limited to a specified range thus saving a small amount of virtual bits which can also be used to improve the visual quality of cipher images. A Generalized Embedding Model is proposed, where the Generalized-LSB (G-LSB) method is used to embed virtual bits into the host domain and an error-correcting strategy is also presented. The optimal static virtual embedded bits (SVEB) are found and a set of rules for dynamic virtual embedded bits (DVEB) are constructed. Experimental simulations show that the visual quality of cipher images is better than that using existing visually meaningful image encryption algorithms. (c) 2021 Elsevier Inc. All rights reserved.

Keyword:

Image encryption Chaotic system M-ary decomposition Virtual bits Visually meaningful encrypted image Integer wavelet transform

Author Community:

  • [ 1 ] [Yang, Yu-Guang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Bao-Pu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Pei, Shuai-Kang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Zhou, Yi-Hua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Shi, Wei-Min]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Yu-Guang]Beijing Key Lab Trusted Comp, Beijing 100124, Peoples R China
  • [ 7 ] [Liao, Xin]Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China

Reprint Author's Address:

  • 杨宇光

    [Yang, Yu-Guang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

INFORMATION SCIENCES

ISSN: 0020-0255

Year: 2021

Volume: 580

Page: 174-201

8 . 1 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:87

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 33

SCOPUS Cited Count: 36

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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