QR code-based non-linear image encryption using Shearlet transform and spiral phase transform

Ravi Kumar, Basanta Bhaduri, Bryan Hennelly

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, we propose a new quick response (QR) code-based non-linear technique for image encryption using Shearlet transform (ST) and spiral phase transform. The input image is first converted into a QR code and then scrambled using the Arnold transform. The scrambled image is then decomposed into five coefficients using the ST and the first Shearlet coefficient, C1 is interchanged with a security key before performing the inverse ST. The output after inverse ST is then modulated with a random phase mask and further spiral phase transformed to get the final encrypted image. The first coefficient, C1 is used as a private key for decryption. The sensitivity of the security keys is analysed in terms of correlation coefficient and peak signal-to noise ratio. The robustness of the scheme is also checked against various attacks such as noise, occlusion and special attacks. Numerical simulation results are shown in support of the proposed technique and an optoelectronic set-up for encryption is also proposed.

Original languageEnglish
Pages (from-to)321-330
Number of pages10
JournalJournal of Modern Optics
Volume65
Issue number3
DOIs
StatePublished - 6 Feb 2018
Externally publishedYes

Keywords

  • Arnold transform
  • QR code
  • Shearlet transform
  • image encryption
  • spiral phase transform

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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