Research progress of computational integral imaging

Yifei Wang; Xiaoyu Jiang; Hui Gao; Junfu Wang

doi:10.1117/12.2503576

12 December 2018 Research progress of computational integral imaging

Yifei Wang, Xiaoyu Jiang, Hui Gao, Junfu Wang

Proceedings Volume 10845, Three-Dimensional Image Acquisition and Display Technology and Applications; 1084504 (2018) https://doi.org/10.1117/12.2503576
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

Integral imaging technology would be one of the most promising technology for the battlefield visualization in future war. The reconstruction of integral imaging can be classified into optical reconstruction and computational reconstruction. Computational reconstruction is accomplished by computer simulation of the optical integral imaging reconstruction process, which can overcome many problems caused by device limitation in optical integral imaging system and improve the image quality through digital processing technology. The reconstructed image is digital format, which can provide data support for 3D depth extraction, 3D target recognition, 3D image processing and so on. Based on the principle of integral imaging, this paper focuses on the principle and development history of computational reconstruction, and compares the performance of two computational reconstruction methods.

Citation Download Citation

Yifei Wang, Xiaoyu Jiang, Hui Gao, and Junfu Wang "Research progress of computational integral imaging", Proc. SPIE 10845, Three-Dimensional Image Acquisition and Display Technology and Applications, 1084504 (12 December 2018); https://doi.org/10.1117/12.2503576

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available