Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial. Issue 14 (1st May 2021)
- Record Type:
- Journal Article
- Title:
- Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial. Issue 14 (1st May 2021)
- Main Title:
- Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial
- Authors:
- Jiang, Donghua
Liu, Lidong
Wang, Xingyuan
Rong, Xianwei - Abstract:
- Abstract: A new two‐dimensional chaotic system in the form of a cascade structure is designed, which is derived from the Chebyshev system and the infinite collapse system. Performance analysis including trajectory, Lyapunov exponent and approximate entropy indicate that it has a larger chaotic range, better ergodicity and more complex chaotic behaviour than those of advanced two‐dimensional chaotic system recently proposed. Moreover, to protect the security of the crowd image data, the newly designed two‐dimensional chaotic system is utilized to propose a visually meaningful image cryptosystem combined with singular value decomposition and Bernstein polynomial. First, the plain image is compressed by singular value decomposition, and then encrypted to the noise‐like cipher image by scrambling and diffusion algorithm. Later, the steganographic image is obtained by randomly embedding the cipher image into a carrier image in spatial domain through the Bernstein polynomial‐based embedding method, thereby realizing the double security of image information and image appearance. Besides, the visual quality of the steganographic image can be improved by the adjustment factor according to different carrier images during the embedding process. Ultimately, security analyses indicate that it has higher encryption efficiency (2 Mbps) and the visual quality of steganography image can reach 39 dB.
- Is Part Of:
- IET image processing. Volume 15:Issue 14(2021)
- Journal:
- IET image processing
- Issue:
- Volume 15:Issue 14(2021)
- Issue Display:
- Volume 15, Issue 14 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 14
- Issue Sort Value:
- 2021-0015-0014-0000
- Page Start:
- 3698
- Page End:
- 3717
- Publication Date:
- 2021-05-01
- Subjects:
- Interpolation and function approximation (numerical analysis) -- Linear algebra (numerical analysis) -- Cryptography -- Optical, image and video signal processing -- Interpolation and function approximation (numerical analysis) -- Linear algebra (numerical analysis) -- Computer vision and image processing techniques -- Data security
Image processing -- Periodicals
621.36705 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-ipr ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4149689 ↗
http://www.ietdl.org/IET-IPR ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17519667 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/ipr2.12237 ↗
- Languages:
- English
- ISSNs:
- 1751-9659
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26191.xml