A method of 3D light field imaging through single layer of weak scattering media basd on deep learning

Weihao Wang; Zichuan Wang; Ya Wen; Lipei Song; Xing Zhao; Jufeng Yang

doi:10.1117/12.2550238

12 March 2020 A method of 3D light field imaging through single layer of weak scattering media basd on deep learning

Weihao Wang, Zichuan Wang, Ya Wen, Lipei Song, Xing Zhao, Jufeng Yang

Proceedings Volume 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 114380Y (2020) https://doi.org/10.1117/12.2550238
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

The study of imaging through scattering media especially 3D imaging is of great significance in many fields such as biomedical imaging. Recently, deep learning has been widely used in the field of information processing with its remarkable performance. In this paper, we proposed a method of three - dimensional imaging through scattering media based on deep learning. This method uses the deep neural network to process the information captured by the light field imaging system based on the microlens array, recovering the no-scattering 4D light field information, and then realize three-dimensional reconstruction by using the processed light field information. Deep learning method requires a large number of samples. But in many environments, it is difficult to obtain a large number of three-dimensional samples through experiment. To solve this crucial problem, we use incoherent light propagation model to simulate the light field propagation and generate samples which contains three-dimensional information through simulation. In this paper, we simulated the propagation of radiation emitted from objects behind a single layer of weak scattering media, generated a large number of samples of 4D light field information by simulation, trained the neural network and processed the test data set generated by simulation, and we realized the deblurring of the light field information which contains information of multiple layers of flat semitransparent objects, which could be used to realize the 3D reconstruction.

Citation Download Citation

Weihao Wang, Zichuan Wang, Ya Wen, Lipei Song, Xing Zhao, and Jufeng Yang "A method of 3D light field imaging through single layer of weak scattering media basd on deep learning", Proc. SPIE 11438, 2019 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 114380Y (12 March 2020); https://doi.org/10.1117/12.2550238

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Point spread functions

3D image processing

Scattering media

3D modeling

Light scattering

Microlens array

Stereoscopy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years