• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

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.)

收录:

EI Scopus SCIE

摘要:

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.

关键词:

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

作者机构:

  • [ 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

通讯作者信息:

  • 杨宇光

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

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

INFORMATION SCIENCES

ISSN: 0020-0255

年份: 2021

卷: 580

页码: 174-201

8 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:87

JCR分区:1

被引次数:

WoS核心集被引频次: 33

SCOPUS被引频次: 39

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

归属院系:

在线人数/总访问数:321/4974371
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司