3D image encoding in FT domain based on CGII algorithm

Xiao Wei Li, Seok Tae Kim, In Kwon Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


We propose a three-dimensional (3D) image encoding in Fourier transform (FT) domain by the combined use of the computer-generated integral imaging (CGII) and cellular automata (CA) transform. In the 3D image encryption process, the rays information emitting from 3D image through a pinhole array and recorded by a two-dimensional (2D) pickup device. The recorded information is known as 2D elemental image array (EIA) which is the demagnified images of different perspectives of the 3D image. The recorded 2D EIA is encoded by using the CA transform and random phase mask encoding method. The advantages of this proposed method can not only increase the resolution of the reconstructed plane images, but also greatly improve the robustness compared with conventional methods. We present the experimental results to verify the performance of our proposed encryption method.

Original languageEnglish
Pages (from-to)3899-3912
Number of pages14
JournalApplied Mathematical Modelling
Issue number14
Publication statusPublished - 2015 Jul 15

Bibliographical note

Funding Information:
This research is supported by Ministry of Culture, Sports and Tourism (MCST) and Korea Creative Content Agency (KOCCA) in the Culture Technology (CT) Research & Development Program 2014. We sincerely thank the editors and reviewers for their valuable suggestions to enhance the quality of this manuscript.

Publisher Copyright:
© 2014 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Applied Mathematics


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