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作者:

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

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EI Scopus SCIE

摘要:

Traditional image encryption algorithms usually aim to encrypt the RGB channels of color plain images separately. In this paper, a novel dimension reduction method is proposed for color image encryption, where a color plain image is first converted into a grayscale image by using steganography technique followed by an encryption operation on the resultant grayscale image thereby reducing the dimension of the encryption. And the color information can be restored back without losing any details. More specifically, a color plain image is first converted into the YCbCr channels, where the Y channel is used as the steganography carrier and to hide the other two channels that are down-sampled by a bicubic interpolation. Our algorithm can compress and encrypt the color plain image to generate a grayscale cipher image so as to reduce the repeatability of encryption. Furthermore, only the used pixel values are encrypted, where a bridge is built between binary image encryption and traditional grayscale image encryption. The security and performance of the proposed image encryption algorithm are analyzed, and the unification between binary image encryption and grayscale image encryption is achieved.

关键词:

Chaotic system Steganography Image encryption Color image encryption YCbCr

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

通讯作者信息:

  • [Yang, Yu-Guang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Yang, Yu-Guang]Beijing Key Lab Trusted Comp, Beijing 100124, Peoples R China;;

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来源 :

MULTIMEDIA TOOLS AND APPLICATIONS

ISSN: 1380-7501

年份: 2022

期: 7

卷: 82

页码: 10835-10866

3 . 6

JCR@2022

3 . 6 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:46

JCR分区:2

中科院分区:4

被引次数:

WoS核心集被引频次: 15

SCOPUS被引频次: 17

ESI高被引论文在榜: 0 展开所有

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