Open AccessOptical 3D object security and reconstruction using pixel-evaluated integral imaging algorithm
Author(s) -
Xiaowei Li,
Ying Wang,
Qiang Li,
QiongHua Wang,
Jianzhong Li,
Seok-Tae Kim,
Xin Zhou
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.020720
Subject(s) - integral imaging , pixel , computer science , algorithm , iterative reconstruction , image quality , computer vision , nonlinear system , encryption , artificial intelligence , image (mathematics) , physics , quantum mechanics , operating system
Under the framework of computational integral imaging, an optical 3D objects security and high-quality reconstruction method based on pixel-evaluating mapping (PEM) algorithm is proposed. In this method, the pixel crosstalk caused by noneffective pixel overlap is effectively reduced by a pixel-evaluated mask, which can improve the image quality of the reconstructed 3D objects. Meanwhile, compared with the other computational integral imaging reconstruction methods, our proposed PEM algorithm can obtain more accurate pixel mapping weight parameters, thereby the reconstructed 3D objects provide higher quality. In addition, the nonlinear feedback shift register cellular automata algorithm is proposed to increase the security of the proposed method. We have experimentally verified the proposed 3D objects encryption and reconstruction algorithm. The experimental results show that the proposed method is superior to the other computational reconstruction methods.