Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space.

Original languageEnglish
Pages (from-to)374-381
Number of pages8
JournalOptics Communications
Volume427
DOIs
Publication statusPublished - 15 Nov 2018

Keywords

  • 3D phase retrieval algorithm
  • Optical correlation
  • Optical security

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry
  • Electrical and Electronic Engineering

Cite this