Designing optical 3D images encryption and reconstruction using monospectral synthetic aperture integral imaging
Posted on 2018-04-16 - 18:43
This paper realizes an optical 3D images encryption and reconstruction by employing the geometric calibration algorithm to the monospectral synthetic aperture integral imaging system. This method has the simultaneous advantages of improving the quality of 3D images by eliminating the crosstalk from the unaligned cameras and increasing security of the multispectral 3D images encryption by importing the random generated maximum-length cellular automata into the Fresnel transform encoding algorithm. Furthermore, compared with the previous 3D images encryption methods of encrypting 3D multispectral information, the proposed method only encrypts monospectral data, which will greatly minimize the complexity. We present experimental results of 3D image encryption and volume pixel computational reconstruction to test and verify the performance of the proposed method. Experimental results validate the feasibility and robustness of our proposed approach, even under severe degradation.
CITE THIS COLLECTION
DataCite
3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Wang, Qiong-Hua; Li, xiaowei; Zhao, Min; Xing, Yan; Zhang, Han-Le; Li, Lei; et al. (2018). Designing optical 3D images encryption and reconstruction using monospectral synthetic aperture integral imaging. Optica Publishing Group. Collection. https://doi.org/10.6084/m9.figshare.c.4002604.v1
or
Select your citation style and then place your mouse over the citation text to select it.
Resource Link
SHARE
Usage metrics
Read the peer-reviewed publication
AUTHORS (8)
QW
Qiong-Hua Wang
xL
xiaowei Li
MZ
Min Zhao
YX
Yan Xing
HZ
Han-Le Zhang
LL
Lei Li
SK
Seoktae Kim
XZ
Xin Zhou