137
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Optical encryption using structural uncorrelated characteristics of biological scattering media

, , , &
Pages 69-76 | Received 10 Sep 2022, Accepted 16 Feb 2023, Published online: 03 Mar 2023
 

ABSTRACT

Inspired by the unique internal structures with inherent anisotropy in biological tissues and their dynamic scattering characteristic, a simple and easy-to-fabricate optical encryption technique using structural uncorrelated characteristics of biological tissues was proposed. It can generate unique keys with the random characteristics of the tissues and transforms multiple image plaintexts into speckle-like ciphertexts. The optical encryptions of grayscale images are demonstrated utilizing the uncorrelated characteristics of shallot and chicken breast respectively. Ciphertext-only-attack is resisted by phase retrieval due to the inherent dynamic randomness of biological tissues and the complexity of the plaintexts. Besides, once the unique PSF keys is recorded by the optical setup, the encryption can be accomplished, either online using the setup, or offline through performing convolutions on the plaintexts with pre-recorded uncorrelated PSFs to yield ciphertexts. Therefore, it is very secure, simple, and flexible to guarantee the promising potentials for information encryption of grayscale images and/or videos.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was support by the National Natural Science Foundation of China under Grant [62275188]; Scientific and Technological Cooperation Project in Shanxi Province under Grant [202104041101009]; Research Project Supported by Shanxi Scholarship Council of China under Grant [2021-035]; and Natural Science Foundation of Shanxi Province under Grant [202103021223091, 20210302123169].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 922.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.