Color 3D Image Encryption Technique by Combined Use of Computational Integral Imaging Joint Image Scrambling Technique

Xiao Wei Li; Sung Jin Cho; Seok Tae Kim

doi:10.4028/www.scientific.net/AMM.479-480.948

Paper Titles

Impacts of Langauge Learning Based on Computer-Assisted Language Learning Instruction
p.928

A Novel Fuel Cell System Design by Using Ziegler-Nichols-Based Intelligent Fuzzy Controller
p.934

A Gesture Recognition Based on Accelerometer and Hidden Markov Model for Human Computer Communication
p.938

Optical Music Recognition for Numbered Music Notation with Multimodal Reconstruction
p.943

Color 3D Image Encryption Technique by Combined Use of Computational Integral Imaging Joint Image Scrambling Technique
p.948

A Cloud-Based Test Architecture for IPv6 SNMPv3 Agent
p.953

3D Integral Imaging Encryption Using a Depth-Converted Elemental Image Array
p.958

On the Security of the Discrete Logarithm Based Remote Authentication Scheme Using Smart Cards
p.963

A Secure Hybrid P2P Network Mobile Communication Device Design
p.968

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 479-480Color 3D Image Encryption Technique by Combined...

Color 3D Image Encryption Technique by Combined Use of Computational Integral Imaging Joint Image Scrambling Technique

Abstract:

In this paper, we propose a novel three-dimensional (3D) color image encryption scheme based on computational integral imaging (CII) and Arnold transform technique. An elemental image array (EIA) is firstly captured by recording the light rays emanating from 3D image through a lenslet array. Then, the captured color EIA is decomposed into three independent channels: red, green and blue, and each channel is encrypted by Arnold transform. In the reconstruction process, the pseudo-inverse filter is used to improve quality of the reconstructed 3D color image in CII system. Numerical simulations have been done to prove the validity and the security of the proposed 3D color image encryption method.

You might also be interested in these eBooks

Applied Science and Precision Engineering Innovation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 479-480)

Pages:

948-952

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.479-480.948

Citation:

Cite this paper

Online since:

December 2013

Authors:

Xiao Wei Li, Sung Jin Cho, Seok Tae Kim

Keywords:

3D Color Image Encryption, Computational Integral Imaging, Pseudo-Inverse Filter

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] P. Refregier, B. Javidi, Optical image encryption based on input plane and Fourier plane random encoding, Opt Lett. 20 (1995) 767-769.

DOI: 10.1364/ol.20.000767

Google Scholar

[2] N. Zhou, T. Dong, J. Wu, Novel image encryption algorithm based on multiple parameter discrete fractional random transform, Opt Commun. 283 (2010) 3037-3042.

DOI: 10.1016/j.optcom.2010.03.064

Google Scholar

[3] D.H. Shin, B.G. Li, J.J. Lee, Occlusion removal method of partially occluded 3D object using sub-image block matching in computational integral imaging, Opt Express 16 (2008) 16294-16304.

DOI: 10.1364/oe.16.016294

Google Scholar

[4] Y.R. Piao, D.H. Shin, E.S. Kim, Robust image encryption by combining the use of integral imaging and pixel scrambling techniques, Opt Laser Eng. 47 (2009) 1273-1281.

DOI: 10.1016/j.optlaseng.2009.05.007

Google Scholar

[5] X.W. Li, D.H. Kim, S.J. Cho, S.T. Kim, Novel 3-D image encryption using computational integral imaging and linear-complemented MLCA, AMM. 284-287 (2013) 2992-2997.

DOI: 10.4028/www.scientific.net/amm.284-287.2992

Google Scholar

[6] Y. Kitamura, Reconstruction of a high-resolution image on a compound-eye image-capturing system, Appl Opt. 43 (2004) 1719-1727.

DOI: 10.1364/ao.43.001719

Google Scholar

[7] M.R. Abuturab, Securing color information using Arnold transform in gyrator transform domain, Opt Lasers Eng. 50 (2012) 772-779.

DOI: 10.1016/j.optlaseng.2011.12.006

Google Scholar