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A visually secure image encryption scheme based on compressive sensing

Publication ,  Journal Article
Chai, X; Gan, Z; Chen, Y; Zhang, Y
Published in: Signal Processing
May 1, 2017

A novel visually secure image encryption scheme based on compressive sensing (CS) is proposed. Firstly, the plain image is transformed into wavelet coefficients, and then confused by a zigzag path and encrypted into a compressed cipher image using compressive sensing. Next, the cipher image is embedded into a carrier image, and finally a visually secure cipher image is obtained. SHA 256 hash function of the original image is generated to calculate the parameters for zigzag confusion and one-dimensional skew tent map, and the map is used to produce the measurement matrix for CS. Therefore, the proposed algorithm is highly sensitive to the plain image, and it can effectively withstand known-plaintext and chosen-plaintext attacks. Besides, our algorithm can achieve the image data security and image appearance security simultaneously, and the size of the cipher image and original image is equal, it does not require additional transmission bandwidth and storage space. Simulation results and performance analyses both demonstrate excellent encryption performance of the proposed encryption scheme.

Duke Scholars

Published In

Signal Processing

DOI

ISSN

0165-1684

Publication Date

May 1, 2017

Volume

134

Start / End Page

35 / 51

Related Subject Headings

  • Networking & Telecommunications
  • 46 Information and computing sciences
  • 40 Engineering
  • 10 Technology
  • 09 Engineering
  • 08 Information and Computing Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chai, X., Gan, Z., Chen, Y., & Zhang, Y. (2017). A visually secure image encryption scheme based on compressive sensing. Signal Processing, 134, 35–51. https://doi.org/10.1016/j.sigpro.2016.11.016
Chai, X., Z. Gan, Y. Chen, and Y. Zhang. “A visually secure image encryption scheme based on compressive sensing.” Signal Processing 134 (May 1, 2017): 35–51. https://doi.org/10.1016/j.sigpro.2016.11.016.
Chai X, Gan Z, Chen Y, Zhang Y. A visually secure image encryption scheme based on compressive sensing. Signal Processing. 2017 May 1;134:35–51.
Chai, X., et al. “A visually secure image encryption scheme based on compressive sensing.” Signal Processing, vol. 134, May 2017, pp. 35–51. Scopus, doi:10.1016/j.sigpro.2016.11.016.
Chai X, Gan Z, Chen Y, Zhang Y. A visually secure image encryption scheme based on compressive sensing. Signal Processing. 2017 May 1;134:35–51.
Journal cover image

Published In

Signal Processing

DOI

ISSN

0165-1684

Publication Date

May 1, 2017

Volume

134

Start / End Page

35 / 51

Related Subject Headings

  • Networking & Telecommunications
  • 46 Information and computing sciences
  • 40 Engineering
  • 10 Technology
  • 09 Engineering
  • 08 Information and Computing Sciences