Robustness enhancement for image hiding algorithm in cellular automata domain

Xiaowei Li, Seok Tae Kim, In Kwon Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Abstract In this paper, we present a cellular automata (CA)-domain image hiding scheme that embedding a secret image into a gray-level image, in which an effective image preprocessor technique is introduced to improve the robustness of the secret image. The image preprocessor works by transforming a secret image into many elemental images based on the lensless integral imaging technique. The properties of data redundancy and distributed memory of the elemental images reinforce the ability to resist some data loss attacks. Besides, we study an improved pixel-wise masking model to optimize the imperceptibility of the stego-image. Experiments verify that the imperceptibility and robustness requirements of the image hiding are both satisfied excellently in the proposed image hiding system.

Original languageEnglish
Article number20368
Pages (from-to)186-194
Number of pages9
JournalOptics Communications
Volume356
DOIs
Publication statusPublished - 2015 Aug 11

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.

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Robustness enhancement for image hiding algorithm in cellular automata domain'. Together they form a unique fingerprint.

Cite this